Download Gregory Floyd Cooper - Department of Biomedical Informatics

5/3/2017
CURRICULUM VITAE
Gregory Floyd Cooper
University of Pittsburgh
Department of Biomedical Informatics
BIOGRAPHICAL
Home Address:
Home Phone:
Birth Date: February 19, 1955
Birth Place: Brewton, Alabama
Citizenship: U.S.
405 Hartwood Trail
Pittsburgh, Pennsylvania 15238
(412) 406-7252
Business Address: Department of Biomedical Informatics
Business Phone: (412) 647-7113
Business Fax: (412) 647-7190
Business E-mail: [email protected]
VALE M-183 (Parkvale Building)
200 Meyran Avenue
University of Pittsburgh
Pittsburgh, PA 15260
EDUCATION and TRAINING
Undergraduate
1973 - 77
M.I.T., Cambridge, Massachusetts
B.S.
1977
Computer Science
Stanford University, Palo Alto, California
Stanford University, Palo Alto, California
Ph.D.
M.D.
1985
1986
Medical Information Sciences
Medicine
Graduate
1977 - 85
1977 - 86
Post Graduate
1986 - 87
Postdoctoral Research Fellow, Medical Informatics, Stanford University (Program Director: E.H. Shortliffe)
APPOINTMENTS and POSITIONS
Academic
1987 - 1989
1989 - 1990
1990 - 1996
1994 - 1996
2002 - 2004
1997 - 2006
2003 - 2004
2004 - 2006
2005 - 2008
1997 - present
2006 - present
2006 - present
2006 - present
2008 - present
2011-present
Research Associate, Medical Informatics, Stanford University
Senior Research Associate, Medical Informatics, Stanford University
Assistant Professor of Medicine, University of Pittsburgh
Director, Biomedical Informatics Training Program, University of Pittsburgh
Co-Director, Intelligent Systems Program, University of Pittsburgh
Associate Professor of Medicine, University of Pittsburgh
Acting Director, Center for Biomedical Informatics, University of Pittsburgh
Director, Center for Biomedical Informatics, University of Pittsburgh
Director, Biomedical Informatics Training Program, University of Pittsburgh
Associate Professor of Intelligent Systems, University of Pittsburgh (secondary appointment)
Associate Professor of Biomedical Informatics, University of Pittsburgh (primary appointment)
Vice Chair, Department of Biomedical Informatics, University of Pittsburgh
Associate Faculty, CRISMA Laboratory, Department of Critical Care Medicine, University of
Pittsburgh
Associate Professor of Computational and Systems Biology, University of Pittsburgh (secondary
appointment)
Associate Professor of School of Information Sciences, University of Pittsburgh (secondary
appointment)
2011-present
2012
2012
Associate Professor in the Clinical and Translational Sciences Institute, University of Pittsburgh
(secondary appointment)
Professor of Biomedical Informatics , University of Pittsburgh (primary appointment)
Professor of Computational and Systems Biology, University of Pittsburgh (secondary
appointment)
MEMBERSHIPS in PROFESSIONAL and SCIENTIFIC SOCIETIES
American Association for the Advancement of Science
American Association for Artificial Intelligence
American College of Medical Informatics
American Medical Informatics Association
International Society for Bayesian Analysis
HONORS
1975
1977-84
1985
1991
2005
2006
2006-2008
2009-present
2010
2011
Tau Beta Pi, M.I.T.
Medical Scientist Training Program trainee, Stanford University
Martin Epstein award for best paper in the student paper competition at the Ninth Annual Symposium
on Computer Applications in Medical Care
Elected as a Fellow of the American College of Medical Informatics
Distinguished paper award at the Annual Symposium of the American Medical Informatics Association
Elected as a Fellow of the American Association for Artificial Intelligence
Elected as an Executive Committee Member in the American College of Medical Informatics
Member of the standing study section of the National Library of Medicine at the National Institutes of
Health (Chair starting on 11/3/2011)
Homer R. Warner clinical-informatics research paper award at the Annual Symposium of the
American Medical Informatics Association (AMIA)
Marco Ramoni distinguished paper award at the 2011 AMIA Summit on Translational Bioinformatics
PUBLICATIONS
Refereed Journal Articles
1.
Cooper GF. A diagnostic method that uses causal knowledge and linear programming in the application of
Bayes' formula. Computer Methods and Programs in Biomedicine 22 (1986) 223–237.1 PMID: 3519071
2.
Chin HL, Cooper GF. Case-based tutoring from a medical knowledge base. Computer Methods and Programs
in Biomedicine 30 (1989) 185–198. PMID: 2684491
3.
Chavez RM, Cooper GF. Hypermedia and randomized algorithms for medical expert systems. Computer
Methods and Programs in Biomedicine 32 (1990) 5–16.2 PMID: 2205445
4.
Cooper GF. The computational complexity of probabilistic inference using Bayesian belief networks. Artificial
Intelligence 42 (1990) 393–405.
5.
Suermondt HJ, Cooper GF. Probabilistic inference in multiply connected belief networks using loop cutsets.
International Journal of Approximate Reasoning 4 (1990) 283–306.
6.
Chavez RM, Cooper GF. A randomized approximation algorithm for probabilistic inference on Bayesian belief
networks. Networks 20 (1990) 661–685.
7.
Herskovits EH, Cooper GF. Algorithms for Bayesian belief-network precomputation. Methods of Information in
Medicine 30 (1991) 81–89.3 PMID: 1857253
1
An abbreviated version of this paper won first place in the student paper competition of the 1985 Symposium on
Computer Applications in Medical Care.
2
An abbreviated version of this paper won first place in the student paper competition of the 1989 Symposium on
Computer Applications in Medical Care.
3
This paper was selected as one of the best papers of the year by the International Medical Informatics Association,
and thus, it was included in the 1992 Yearbook of Medical Informatics.
2
8.
Shwe MA, Middleton B, Heckerman DE, Henrion M, Horvitz EJ, Lehmann H, Cooper GF. Probabilistic
diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base - The probabilistic model and
inference algorithms. Methods of Information in Medicine 30 (1991) 241–255. PMID: 1762578
9.
Middleton B, Shwe MA, Heckerman DE, Henrion M, Horvitz EJ, Lehmann H, Cooper GF. Probabilistic
diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base — Evaluation of diagnostic
performance. Methods of Information in Medicine 30 (1991) 256–267.4 PMID: 1762579
10. Shiffman S, Wu AW, Poon AD, Lane CD, Middleton BF, Miller RA, Masarie Jr FE, Cooper GF, Shortliffe,
EH, Fagan LM. Building a speech interface to a medical diagnostic system. IEEE Expert 6 (1991) 41–49.
11. Shwe MA, Cooper GF. An empirical analysis of likelihood-weighting simulation on a large, multiply-connected
belief network. Computers and Biomedical Research 24 (1991) 453–475. PMID: 1743005
12. Suermondt HJ, Cooper GF. Initialization for the method of conditioning in Bayesian belief networks. Artificial
Intelligence 50 (1991) 83–94.
13. Suermondt HJ, Cooper GF. A combination of exact algorithms for inference on Bayesian belief networks.
International Journal of Approximate Reasoning 5 (1991) 521–542.
14. Cooper GF, Herskovits EH. A Bayesian method for the induction of probabilistic networks from data. Machine
Learning 9 (1992) 309–347.
15. Wagner MM, Cooper GF. Evaluation of a Meta-1-based automatic indexing method for medical documents.
Computers and Biomedical Research 25 (1992) 336–350.5 PMID: 1511595
16. Suermondt HJ, Cooper GF. An evaluation of explanations of probabilistic inference. Computers and Biomedical
Research 26 (1993) 242–254.6 PMID: 8325004
17. Cooper GF. A method for learning belief networks that contain hidden variables. Journal of Intelligent
Information Systems 4 (1995) 1–18.
18. Lowe HJ, Buchanan BG, Cooper GF, Vries JK. Building a medical multimedia database to integrate clinical
information: An application of high-performance computing and communications technology. Bulletin of the
Medical Library Association 83 (1995) 57-64. PMID: 7703940 PMC225998
19. Aliferis CF, Cooper GF, Miller RA, Buchanan BG, Bankowitz R, Giuse N. A temporal analysis of QMR.
Journal of the American Medical Informatics Association 3 (1996) 79–91. PMID: 8750392
20. Monti S, Cooper GF. Bounded recursive decomposition: A search-based method for belief-network inference
under limited resources. International Journal of Approximate Reasoning 15 (1996) 49-75.
21. Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G,
Hanusa BH, Janosky J, Meek C, Mitchell T, Richardson T, Spirtes, P. An evaluation of machine-learning
methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9 (1997) 107-138. PMID:
9040894
22. Aliferis CF, Cooper GF, Pollack ME, Buchanan BG, Wagner MM. Representing and developing temporally
abstracted knowledge as a means towards facilitating time modeling in medical decision support systems.
Computers in Biology and Medicine 27 (1997) 411-434. PMID: 9397342
23. Citro G, Banks G, Cooper G. INKBLOT: A neurological diagnostic decision support system integrating causal
and anatomical knowledge. Artificial Intelligence in Medicine 10 (1997) 257-267. PMID: 9232188
24. Cooper GF. A simple algorithm for efficiently mining observational databases for causal relationships. Journal
of Data Mining and Knowledge Discovery 1 (1997) 203-224.
25. Cooper GF, Miller RA. An experiment comparing lexical and statistical methods for extracting MeSH terms
from clinical free text. Journal of the American Medical Informatics Association 5 (1998) 62-75. PMID:
9452986 PMC61276
4
This paper also was selected as one of the best papers of the year by the International Medical Informatics
Association, and thus, it was included in the 1992 Yearbook of Medical Informatics.
5
With an abbreviated version of this paper, Wagner won second place (short-term project category) in the student
paper competition of the 1992 Symposium on Computer Applications in Medical Care.
6
This paper was selected as one of the best papers of the year by the International Medical Informatics Association,
and thus, it was included in the 1994 Yearbook of Medical Informatics.
3
26. Arora A, Cooper GF, Krishnan R, Padman R. IBIZA: E-market infrastructure for custom-built information
products. Information Systems Frontiers (2000) 65-84.
27. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple algorithm for identifying
negated findings and diseases in discharge summaries. Journal of Biomedical Informatics 34 (2002) 301-310.
PMID: 12123149
28. Chapman WW, Cooper GF, Hanbury P, Chapman BE, Harrison LH, Wagner MM. Creating a text classifier to
detect radiology reports describing mediastinal findings associated with inhalational anthrax and other
disorders. Journal of the American Medical Informatics Association 10 (2003) 494-503. PMID: 12807805
PMC212787
29. Wong WK, Moore A, Cooper G, Wagner M. WSARE: What's Strange About Recent Events? Journal of Urban
Health 80 (2003) 66-75. PMID: 12791781
30. Yoo C, Cooper GF. An evaluation of a system that recommends microarray experiments to perform to discover
gene-regulation pathways. Artificial Intelligence in Medicine 31 (2004) 169-182. PMID: 1529293
31. Dash D, Cooper GF. Model averaging for prediction with discrete Bayesian networks. Journal of Machine
Learning Research (2004) 1177-1203.
32. Middleton B, Hammond WE, Brennan PF, Cooper GF. Accelerating U.S. EHR adoption: How to get there from
here. Journal of the American Medical Informatics Association 12 (2005):13-19. PMID: 15492028
PMC543821
33. Auble TE, Hsieh M, Gardner W, Cooper GF, Stone RA, McCausland JB, Yealy DM., A prediction rule to
identify low-risk patients with heart failure. Academic Emergency Medicine 12 (2005) 514-521. PMID:
15930402
34. Cooper GF, Abraham V, Aliferis CF, Aronis JM, Buchanan BG, Caruana R, Fine MJ, Janosky JE, Livingston
G, Mitchell T, Monti S, Spirtes P. Predicting dire outcomes of patients with community acquired pneumonia.
Journal of Biomedical Informatics 38 (2005) 347-366. PMID: 16198995
35. Wong WK, Cooper GF, Dash DH, Levander JD, Dowling J, Hogan WR, Wagner MM. Bayesian
biosurveillance using multiple data streams. Morbidity and Mortality Weekly Report 54 (2005) 63-69. PMID:
16177695
36. Wong WK, Moore A, Cooper GF, Wagner MW. What's Strange About Recent Events (WSARE): An algorithm
for the early detection of disease outbreaks. Journal of Machine Learning Research 6 (2005) 1961-1998.
PMID: 12791781
37. Yoo C, Cooper GF, Schmidt M. A controlled study to evaluate a computer-based microarray experimentdesign-recommendation system for gene-regulation pathway discovery. Journal of Biomedical Informatics 39
(2006) 126-146. PMCD: 16203178
38. Rolka H, Burkom H, Cooper GF, Kulldorff M, Madigan D, Wong WK. Issues in applied statistics for public
health bioterrorism surveillance using multiple data streams: Research needs.
Statistics in Medicine 26 (2007) 1834-1856. PMID: 17221940
39. Hogan W, Cooper GF, Wallstrom G, Wagner MW, Depinay JM. The Bayesian aerosol release detector: An
algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus Anthracis.
Statistics in Medicine 26 (2007) 5225-5252. PMID: 17948918
40. Shen Y, Adamou C, Dowling JN, Cooper GF. Estimating the joint disease outbreak-detection time when an
automated biosurveillance system is augmenting traditional clinical case finding. Journal of Biomedical
Informatics 41 (2008) :224-231. PMID: 18194876
41. Dara J, Dowling JN, Travers D, Cooper GF, Chapman WW. Evaluation of preprocessing techniques for chief
complaint classification. Journal of Biomedical Informatics 41 (2008) 612-623. PMID: 18166502
42. Jiang X, Wallstrom G, Cooper GF, Wagner MM. Bayesian prediction of an epidemic curve. Journal of
Biomedical Informatics 42 (2009) 90-99. PMID: 18593605
43. Jiang X, Neill DB, Cooper GF. A Bayesian network model for spatial event surveillance. International Journal
of Approximate Reasoning 51 (2010) 224-239. PMC Journal - In Process
44. Shen Y, Cooper GF. A new prior for Bayesian anomaly detection – Application to biosurveillance. Methods of
Information in Medicine 49 (2010) 44-53. PMID: 20027381
4
45. Neill DB, Cooper GF. A multivariate Bayesian scan statistic for early event detection and characterization.
Machine Learning 79 (2010) 261-282. PMC Journal - In Process
46. Jiang X, Cooper GF. A real-time temporal Bayesian architecture for event surveillance and its application to
patient-specific multiple disease outbreak detection. Data Mining and Knowledge Discovery (2010). DOI:
10.1007/s10618-009-0151-4 PMC Journal - In Process
47. Gopalakrishnan V, Lustgarten JL, Visweswaran S, Cooper GF. Bayesian rule learning for biomedical data
mining. Bioinformatics 26 (2010) 668-675. Doi:10.1093/bioinformatics/btq005. PMID: 20080512
48. Jiang X, Cooper GF. A Bayesian spatio-temporal method for disease outbreak detection. Journal of the
American Medical Informatics Association 17 (2010) 462-471. PMID: 20595315
49. Visweswaran S, Angus DC, Hsieh M, Weissfeld L, Yealy D, Cooper GF. Learning patient-specific predictive
models from clinical data. Journal of Biomedical Informatics 43 (2010) 669-685. PMID: 20450985.
50. Visweswaran S, Cooper GF. Learning instance-specific predictive models. Journal of Machine Learning
Research (2010) Dec; 11:3333-3369. PMC Journal - In Process
http://jmlr.csail.mit.edu/papers/volume11/visweswaran10a/visweswaran10a.pdf
51. Shen Y, Cooper GF. Multivariate Bayesian modeling of known and unknown causes of events – An application
to biosurveillance. Journal of Computer Methods and Programs in Biomedicine (Dec 30, 2010).
doi:10.1016/j.cmpb.2010.11.015 PMID: 21195503
52. Wei W, Visweswaran S, Cooper GF. The application of naive Bayes model averaging to predict Alzheimer’s
disease from genome-wide data. Journal of the American Medical Informatics Association (2011) Jul 1; 18(4):
370-5. PMID: 21672907 PMC3128400.7
53. Jiang X, Barmada MM, Cooper GF, Becich MJ. A new Bayesian network method for evaluating and
discovering disease loci associations. PLoS ONE (2011) Aug; http://dx.plos.org/10.1371/journal.pone.0022075.
PMID: 21853025 PMC3154195
54. Lustgarten JL, Visweswaran S, Gopalakrishnan V, Cooper GF. Application of an efficient Bayesian
discretization method to biomedical data. BMC Bioinformatics (2011) July; 12:309
http://www.biomedcentral.com/1471-2105/12/309. PMID: 21798039 PMC3162539
55. Wagner M, Tsui F, Cooper G, Espino J, Harkema H, Levander J, Villamarin R, Voorhees R, Millett N, Keane
C, Dey A, Razdan M, Hu Y, Tsai M, Brown S, Lee BY, Gallagher A, Potter M. Probabilistic, Decisiontheoretic Disease Surveillance and Control. Online Journal of Public Health Informatics 3 (2011)
56. Tsui F, Wagner M, Cooper G, Que J, Harkema H, Dowling J, Sriburadej T, Li Q, Espino J, Voorhees R.
Probabilistic Case Detection for Disease Surveillance Using Data in Electronic Medical Records. Online
Journal of Public Health Informatics 3 (2011).
Refereed Conference Papers
1.
Cooper GF. A method for using belief networks as influence diagrams. In: Proceedings of the Workshop on
Uncertainty in Artificial Intelligence (1988) 55–63.
2.
Beinlich IA, Suermondt HJ, Chavez RM, Cooper GF. The ALARM monitoring system: A case study with two
probabilistic inference techniques for belief networks. In: Proceedings of the Conference on Artificial
Intelligence in Medical Care, 1989.
3.
Chavez RM, Cooper GF. An empirical evaluation of a randomized algorithm for probabilistic inference. In:
Proceedings of the Workshop on Uncertainty in Artificial Intelligence (1989) 60–70.
4.
Chin HL, Cooper GF. Stochastic simulation of causal Bayesian models. In: Uncertainty in Artificial Intelligence
3 (North-Holland, Amsterdam, 1989) 129–147.
5.
Cooper GF. An algorithm for computing probabilistic propositions. In: Uncertainty in Artificial Intelligence 3
(North-Holland, Amsterdam, 1989) 1–14.
7
This paper won the Marco Ramoni Distinguished Paper Award at the Summit on Translational Bioinformatics of
the American Medical Informatics Association.
5
6.
Horvitz EJ, Suermondt HJ, Cooper GF. Bounded conditioning: Flexible inference for decisions under scarce
resources. In: Proceedings of the Workshop on Uncertainty in Artificial Intelligence (1989) 181–193.
7.
Horvitz EJ, Cooper GF, Heckerman DE. Reflection and action under scarce resources: Theoretical principles
and empirical study. In: Proceedings of the International Joint Conference on Artificial Intelligence (1989)
1121–1127.
8.
Chavez RM, Cooper GF. KNET: Integrating hypermedia and normative Bayesian modeling. In: Uncertainty in
Artificial Intelligence 4 (North-Holland, Amsterdam, 1990) 339–349.
9.
Herskovits EH, Cooper GF. Kutató: An entropy-driven system for the construction of probabilistic expert
systems from databases. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (1990) 54–
62.
10. Shwe MA, Cooper GF. An empirical analysis of likelihood-weighting simulation on a large, multiply-connected
belief network. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (1990) 498–508.
11. Shwe MA, Middleton B, Heckerman DE, Henrion M, Horvitz EJ, Lehmann H, Cooper GF. A probabilistic
reformulation of the Quick Medical Reference System. In: Symposium on Computer Applications in Medical
Care (1990) 790–794. PMID: 1762578
12. Suermondt HJ, Cooper GF, Heckerman DE. A combination of cutset conditioning and clique-tree propagation
in the Pathfinder system. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (1990) 86–
90.
13. Cooper GF, Herskovits EH. A Bayesian method for constructing Bayesian belief networks from databases. In:
Proceedings of the Conference on Uncertainty in Artificial Intelligence (1991) 86–94.
14. Miller RA, Gieszczykiewicz FM, Vries JK, Cooper GF. CHARTLINE: Providing bibliographic references
relevant to patient charts using the UMLS Metathesaurus knowledge sources. In: Proceedings of the Symposium
on Computer Applications in Medical Care (1992) 86–90. PMID: 1483014
15. Suermondt HJ, Cooper GF. An evaluation of explanations of probabilistic inference. In: Proceedings of the
Symposium on Computer Applications in Medical Care (1992) 579–585.8 PMID: 1482939
16. Aliferis CF, Chao E, Cooper GF. Data Explorer: A prototype expert system for statistical analysis. In:
Proceedings of the Symposium on Computer Applications in Medical Care (1993) 389–393.9 PMID: 8130501
17. Cooper GF. A Bayesian method for learning belief networks that contain hidden variables. In: Proceedings of
the Workshop on Knowledge Discovery in Databases (1993) 112–124.
18. Cooper GF, Owens G. Patient simulation using seamless digital video. In: Proceedings of the Symposium on
Computer Applications in Medical Care (1993) 796-800. PMID: 8130587
19. Wagner MM, Cooper GF. Decision-theoretic information pretrieval: A generalization of reminding. In:
Proceedings of the Symposium on Computer Applications in Medical Care (1993) 512–516.10 PMID: 8130526
20. Aliferis CF, Cooper GF. An evaluation of an algorithm for inductive learning of Bayesian belief networks using
simulated data sets. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (1994) 8–14.
PMID: 7950017
21. Aliferis CF, Cooper GF, Bankowitz R. A temporal analysis of QMR: Abstracted temporal representation and
reasoning and initial assessment of diagnostic performance trade-offs. In: Proceedings of the Symposium on
Computer Applications in Medical Care (1994) 709–716.11
22. Aliferis CF, Cooper GF, Buchanan BG, Miller RA, Bankowitz R, Giuse N. Temporal reasoning abstractions in
QMR. In: Proceedings of MEDINFO (1995) 847–857.12 PMID: 8591343
8
With this paper, Suermondt won first place in the student paper competition of the 1992 Symposium on Computer
Applications in Medical Care.
9
This paper was a finalist in the Priscilla Mayden paper competition at the 1993 Symposium on Computer
Applications in Medical Care.
10
This paper also was a finalist in the Priscilla Mayden paper competition at the 1993 Symposium on Computer
Applications in Medical Care.
11
With this paper, Aliferis won second place (theory category) in the student paper competition of the 1994
Symposium on Computer Applications in Medical Care.
6
23. Aliferis CF, Cooper GF. A new formalism for temporal modeling in medical decision-support systems. In:
Proceedings of the Symposium on Computer Applications in Medical Care (1995) 213–217. PMID; 8563270
24. Ambrosino R, Buchanan BG, Cooper GF, Fine MJ. The use of misclassification costs to learn rule-based
decision support models for cost-effective hospital admission strategies. In: Proceedings of the Symposium on
Computer Applications in Medical Care (1995) 304–308. PMID: 8563290
25. Cooper GF. Causal discovery from data in the presence of selection bias. In: Proceedings of the Workshop on
Artificial Intelligence and Statistics (1995) 140–150.
26. Lowe HJ, Buchanan BG, Cooper GF, Kaplan B, Vries JK. Image Engine: An integrated multimedia clinical
information system. In: Proceedings of MEDINFO (1995) 421-425. PMID: 8591216
27. Wagner MM, Cooper GF. Evaluation of a belief-network-based reminder system that learns from utility
feedback. In: Proceedings of the Symposium on Computer Applications to Medical Care (1995) 666–672.13
PMID: 8563370
28. Aliferis CF, Cooper GF. A structurally and temporally extended Bayesian belief network model: Definitions,
properties, and modeling techniques. In: Proceedings of Conference on Uncertainty in Artificial Intelligence
(1996) 28-39.
29. Hashem AI, Cooper GF. Human causal discovery from observational data. In: Proceedings of the Annual
Symposium of the American Medical Informatics Association (1996) 27-31.14 PMID: 894721
30. Wagner MM, Overhage JM, Rodriguez E, Cooper GF. Representing CARE rules in a decision-theoretic
formalism. In: Proceedings of the Annual Conference of the American Medical Informatics Association (1996)
582-586. PMID: 8947733
31. Monti S, Cooper GF. Learning Bayesian belief networks with neural network estimators. In: Proceedings of the
Conference on Neural Information Processing Systems (1996).
32. Monti S, Cooper GF. A multivariate discretization method for learning Bayesian networks from mixed data. In:
Proceedings of the Conference on Uncertainty in Artificial Intelligence (1998) 404-413.
33. Aliferis CF, Cooper GF. Temporal representation design principles: An assessment in the domain of liver
transplantation. In: Proceedings of the Annual Symposium of the American Medical Informatics Association
(1998) 170-174. PMID: 9929204
34. Monti S, Cooper GF. The impact of modeling the dependencies among patient findings on classification
accuracy and calibration. In: Proceedings of the Annual Symposium of the American Medical Informatics
Association (1998) 592-596.15 PMID: 9929288
35. Cooper GF, Buchanan BG, Kayaalp M, Saul M, Vries JK. Using computer modeling to help identify patient
subgroups in clinical data repositories. In: Proceedings of the Annual Symposium of the American Medical
Informatics Association (1998) 180-184. PMID: 9929206
36. Cooper GF, Yoo C. Causal discovery from a mixture of experimental and observational data. In: Proceedings
of the Conference on Uncertainty in Artificial Intelligence (1999) 116-125. PMID: 12463958
37. Spirtes P, Cooper GF. An experiment in causal discovery using a pneumonia database. In: Proceedings of
International Workshop in Artificial Intelligence and Statistics (1999) 162-168.
38. Monti S, Cooper GF. A latent variable model for multivariate discretization. In: Proceedings of International
Workshop in Artificial Intelligence and Statistics (1999) 249-254.
39. Monti S, Cooper GF. A Bayesian network classifier that combines a finite mixture model and a naïve Bayes
model. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (1999) 447-456.
12
This paper was judged to be one of the best student papers at the 1995 Medinfo international medical informatics
conference.
13
With this paper, Wagner won first place in the student paper competition of the 1995 Symposium on Computer
Applications in Medical Care.
14
With this paper, Hashem was one of the finalists in the student paper competition of the 1996 Annual Symposium
of the American Medical Informatics Association (formerly known as the Symposium on Computer Applications in
Medical Care).
15
With this paper, Monti won second place in the student paper competition of the 1998 Annual Symposium of the
American Medical Informatics Association.
7
40. Mani S, Cooper GF. A study in causal discovery from population-based infant birth and death records. In:
Proceedings of the Annual Symposium of the American Medical Informatics Association (1999) 315-319.
PMID: 10566372
41. Aronis J, Cooper GF, Kayaalp M, Buchanan BG. Identifying patient subgroups with simple Bayes. In:
Proceedings of the Annual Symposium of the American Medical Informatics Association (1999) 658-662.
PMID: 10566441
42. Cooper GF. Causal modeling and discovery under selection. In: Proceedings of the Conference on Uncertainty
in Artificial Intelligence (2000) 98-106.
43. Mani S, Cooper GF. Causal discovery from medical textual data. In: Proceedings of the Annual Symposium of
the American Medical Informatics Association (2000) 542-546. PMID: 11079942
44. Kayaalp MM, Cooper GF, Clermont G. Predicting ICU motality: A comparison of stationary and nonstationary
temporal models. In: Proceedings of the Annual Symposium of the American Medical Informatics Association
(2000) 418-422. PMID: 11079917
45. Mani S, Cooper GF. A simulation study of three related causal data mining algorithms. In: Proceedings of the
International Workshop on Artificial Intelligence and Statistics (2001) 73-80.
46. Kayaalp M, Cooper GF, Clermont G. Predicting with variables constructed from temporal sequences. In:
Proceedings of the International Workshop on Artificial Intelligence and Statistics (2001) 220-225.
47. Scheines R, Cooper GF, Yoo C, Chu T. Piecewise linear instrumental variable estimation of causal influence.
In: Proceedings of the International Workshop on Artificial Intelligence and Statistics (2001) 286-291.
48. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. Evaluation of negation phrases in
narrative clinical reports. In: Proceedings of the Annual Symposium of the American Medical Informatics
Association (2001) 105-109. PMID: 11825163
49. Yoo C, Thorsson V, Cooper GF. Discovery of causal relationships in a gene-regulation pathway from a mixture
of experimental and observational DNA microarray data. In: Proceedings of the Pacific Symposium in
Biocomputing (2002) 498-509. PMID: 11928502
50. Wong WK, Moore AM, Cooper GF, Wagner MM. Rule-based anomaly pattern detection for detecting disease
outbreaks. In: Proceedings of National Conference on Artificial Intelligence (AAAI) (2002) 217-223.
51. Kayaalp M, Cooper GF. A Bayesian network scoring metric that is based on globally uniform parameter priors.
In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (2002), 251-258.
52. Dash D, Cooper GF. Exact model averaging with naive Bayesian classifiers. In: Proceedings of the
International Conference on Machine Learning (2002) 91-98.
53. Yoo C, Cooper GF. Discovery of gene-regulation pathways using local causal search. In: Proceedings of the
Annual Symposium of the American Medical Informatics Association (2002) 914-918.16 PMID: 12463958
54. Wong WK, Moore A, Cooper GF, Wagner MM., Bayesian network anomaly pattern detection for disease
outbreaks. In: Proceedings of the International Conference on Machine Learning (ICML) (2003).
55. Visweswaran S, Hanbury P, Saul M, Cooper GF., Detecting adverse drug events in discharge summaries using
variations on the simple Bayes model. In: Proceedings of the Annual Symposium of the American Medical
Informatics Association (2003) 689-693. PMID: 14728261
56. Yoo C, Cooper GF. A computer-based microarray experiment design-system for gene-regulation pathway
discovery. In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2003)
733-737. PMID: 14728270
57. Cooper GF, Dash DH, Levander JD, Wong WK, Hogan WR, Wagner MM. Bayesian biosurveillance of disease
outbreaks. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (2004) 94-103.
58. Mani S, Cooper GF. Casual discovery using a Bayesian local casual discovery algorithm. In: Proceedings of
the World Congress on Medical Informatics (2004) 731-735.17 PMID: 15360909
16
This paper was nominated for the best paper award at the 2002 Annual Symposium of the American Medical
Informatics Association.
17
With this paper, Mani was one of the finalists in the student paper competition of the 2004 World Congress on
Medical Informatics (Medinfo).
8
59. Visweswaran S, Cooper GF. Instance-specific Bayesian model averaging for classification. In: Proceedings of
the Neural Information Processing Systems Conference (NIPS) (2005) 1449-1456.
60. Neill DB, Moore AW, Cooper GF. A Bayesian spatial scan statistic. In: Proceedings the Neural Information
Processing Systems Conference (NIPS) (2005).
61. Visweswaran S, Cooper GF. Patient-specific models for predicting the outcomes of patients with community
acquired pneumonia. In: Proceedings of the Annual Symposium of the American Medical Informatics
Association (2005) 759-763.18 PMID: 16779142
62. Cooper GF, Visweswaran S. Deriving the expected utility of a predictive model when the utilities are uncertain.
In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2005) 161-165.19
PMID: 16779022
62. Mani S, Cooper GF, Spirtes P. A theoretical study of Y structures for causal discovery. In: Proceedings of the
Conference on Uncertainty in Artificial Intelligence (2006).
63. Shen Y, Cooper GF. A Bayesian biosurveillance method that models unknown outbreak diseases. Proceedings
of the Conference on Intelligence and Security Informatics: Biosurveillance, (2007) 209-215.
64. Hauskrecht M, Valko M, Kveton B, Visweswaran S, Cooper GF. Evidence-based anomaly detection in clinical
domains. In: Proceedings of the Annual Symposium of the American Medical Informatics Association (2007)
319-232. PMID: 18693850 PMC2655918
65. Jiang X, Cooper GF. A recursive algorithm for spatial cluster detection. In: Proceedings of the Annual
Symposium of the American Medical Informatics Association (2007) 369-373. PMID:18693860 PMC2655859
66. Sutovsky P, Cooper GF. Hierarchical explanation of inference in Bayesian networks that represent a population
of independent agents. In: Proceedings of the European Conference on Artificial Intelligence (2008) 214-218.
67. Valko M, Cooper G, Seybert A, Visweswaran S, Hauskrecht M. Conditional anomaly detection methods for
patient-management alert systems. In: Proceedings of the Workshop on Machine Learning in Health Care
Applications of the 25th International Conference on Machine Learning (2008).
68. Wadhwa R, Fridsma DS, Saul MI, Penrod LE, Visweswaran S, Cooper GF, Chapman W. Analysis of a failed
clinical decision support system for management of congestive heart failure. In: Proceedings of the Annual
Symposium of the American Medical Informatics Association (2008) 773-777. PMID:18999183 PMC2655961
69. Jiang X, Neill DB, Cooper GF. Generalized AMOC curves for evaluation and improvement of event
surveillance. In: Proceedings of the Annual Symposium of the American Medical Informatics Association
(2009) 281-285. PMID: 20351865 PMC2815453.
70. Shen Y, Cooper GF. Bayesian modeling of unknown disease for biosurveillance. In: Proceedings of the Annual
Symposium of the American Medical Informatics Association (2009) 589-593. PMID: 20351923 PMC2815446.
71. Cooper GF, Hennings-Yeomans P, Visweswaran S, Barmada M. An efficient Bayesian method for predicting
clinical outcomes from genome-wide data. In: Proceedings of the Annual Symposium of the American Medical
Informatics Association (2010) 127-131. PMID: 21346951 PMC3041321
72. Visweswaran S, Mezger J, Clermont G, Hauskrecht M, Cooper GF. Identifying deviations from usual medical
care using a statistical approach. In: Proceedings of the Annual Symposium of the American Medical
Informatics Association (2010) 827-831. PMID: 21347094 PMC3041340
73. Hauskrecht M, Valko M, Batal I, Clermont G, Visweswaran S, Cooper GF. Conditional outlier detection for
clinical alerting. In: Proceedings of the Annual Symposium of the American Medical Informatics Association
(2010) 286-290.20 PMID: 21346986 PMC3041310
74. Jiang X, Neapolitan RE, Barmada M, Visweswaran S, Cooper GF. A fast algorithm for learning epistatic
genomic relationships. In: Proceedings of the Annual Symposium of the American Medical Informatics
Association (2010) 341-345.21 PMID: 21346997 PMC3041370
18
With this paper, Visweswaran won third place in the student paper competition of the 2005 Annual Symposium of
the American Medical Informatics Association.
19
This paper won a distinguished paper award at the conference.
20
This paper won the Homer R. Warner research award at the 2010 Annual Symposium of the American Medical
Informatics Association.
9
75. Valko M, Valizadegan H, Hauskrecht M, Kveton B, Cooper GF. Conditional anomaly detection using soft
harmonic functions: An application to clinical alerting. In: Proceedings of the ICML Workshop on Machine
Learning for Global Challenges (July 2011).
76. Batal I, Hauskrecht M, Valizadegan H, Cooper G. A pattern mining approach for classifying multivariate
temporal data. In: Proceedings of the BIBM 2011 Conference (November 2011).
77. Sverchkov Y, Visweswaran S, Clermont G, Hauskrecht M, Cooper GF. A multivariate probabilistic method for
comparing two clinical datasets. In: Proceedings of the 2nd ACM SIGHIT International Health Informatics
Symposium January (2012).
78. Sverchkov Y, Visweswaran, Clermont G, Hauskrecht M, Cooper GF. A multivariate probabilistic method for
comparing two clinical datasets. In: Proceedings of the ACM SIGHIT Health Informatics Symposium (2012).
Book
1.
Glymour C, Cooper GF. (Eds.). Computation, Causation, and Discovery (MIT Press, Cambridge, MA, 1999).
2.
Guyton I, Aliferis C, Cooper GF, Elisseeff A, Pellet JP, Spirtes P, Statnikov A. (Eds). Causation and Prediction
Challenge: Challenges in Machine Learning, Volume 2 (Microtome Publishing, Brookline, MA, 2010).
Reviews, Invited Published Papers, Non-refereed Proceedings of Conference and Symposia,
Monographs, and Book Chapters
1.
Cooper GF. Computer-based medical diagnosis using belief networks and bounded probabilities. In: Miller PL (Ed.),
Selected Topics in Medical Artificial Intelligence (Springer-Verlag, New York, 1988) 85–97.
2.
Cooper GF. Current research directions in the development of expert systems based on belief networks. Applied
Stochastic Models and Data Analysis 5 (1989) 39–52. [Invited]
3.
Cooper GF. Special issue on probabilistic and decision-theoretic systems in medicine (overview of the special issue).
Artificial Intelligence in Medicine 5 (1993) 289–292.
4.
Monti S, Cooper GF. Learning Bayesian networks from data containing both continuous and discrete variables. In:
Jordan MI (Ed.) Learning in Graphical Models (Kluwer Academic Publishers, 1998).
5.
Cooper GF. An overview of the representation and discovery of causal relationships using Bayesian networks. In:
Glymour C, Cooper GF (Eds.). Computation, Causation, and Discovery (MIT Press, Cambridge, MA, 1999).
6.
Heckerman D, Meek C, Cooper GF. A Bayesian approach to causal discovery. In: Glymour C, Cooper GF (Eds.).
Computation, Causation, and Discovery (MIT Press, Cambridge, MA, 1999).
7.
Cooper GF. Knowledge processing and decision support systems (synopsis). In: Yearbook of Medical Informatics
(2002) 477-479.
8.
Cooper GF. Defining a workable strategy to stimulate widespread adoption of electronic health records in the United
States (editorial). Journal of the American Medical Informatics Association 12 (2005) 1-2.
9.
Cooper GF, Dash DH, Levander JD, Wong WK, Hogan WR, Wagner MM. (2006) Bayesian methods for diagnosing
outbreaks. In: Wagner MM, Moore AW, Aryel RM (Eds.), Handbook of Biosurveillance (Academic Press).
10.
Jiang X, Wagner MM, Cooper GF. Modeling the Temporal Trend of the Daily Severity of an Outbreak using Bayesian
Networks. (2008) In: Homes DE, Jain LC (Eds.) Innovations in Bayesian Networks of Studies in Computational
Intelligence. (New York: Springer-Verlag) 169-185.
11.
Guyon I, Aliferis C, Cooper G, Elisseeff A, Pellet J-P, Spirtes P, Statnikov A. (2009) Causality workbench. In: Illari
PM, Russo F, Williamson J (Eds.) Causality in the Sciences (Clarendon Press – Oxford).
21
With this paper, Jiang was a finalist in the student paper competition of the 2010 Annual Symposium of the
American Medical Informatics Association.
10
12.
Neill DB, Cooper GF, Das K, Jiang X, Schneider J. (2009) Bayesian Networks Scan Statistics for Multivariate Pattern
Detection. In: Glaz J, Pozdnyakov V, Wallenstein S(Eds.). Scan Statistics - Methods and Applications. (Birkhauser)
Refereed Abstracts and Posters
1.
Wirtschafter DD, Cooper GF, Russo A, Mesel E. A retrieval system for a time-oriented database. In: The Sixth
Annual Conference of the Society for Computer Medicine (1976).
2.
Suermondt HJ, Howard SK, Gaba DM, Cooper GF. The role of explanation on the effects of decision support
on diagnostic accuracy. Anesthesiology 76 (1992) A560.
3.
Cooper G, Aliferis C, Buchanan B, Fine M, Glymour C, Gordon G, Meek C, Mitchell T, Provost F, Richardson
T, Scheines R, Spirtes P. Improving the cost effectiveness of health care through machine learning applied to
large clinical databases. Annals of Biomedical Engineering 22, Supplement 1 (1994) 3.
4.
Wagner MM, Arnold RM, Cooper GF. Document utility: An alternative measure of document relevance.
Presented at: 18th Annual Symposium on Computer Applications in Medical Care (SCAMC) 1994.
5.
Clark DB, Kirsci L, Cooper GF. Using clinical data to predict suicide attempts in adolescents with alcohol use
disorders. Alcoholism: Clinical and Experimental Research 20 (1996) 134A.
6.
Aronis JM, Cooper GF, Fine MJ. A retrospective study of the effect of a prognostic model on the hospital
admission decision for patients with low risk community-acquired pneumonia. In: Proceedings of the Annual
Symposium of the American Medical Informatics Association (2000) 956 (poster).
7.
Cooper GF, Fine MJ, Gadd CS, Obrosky DS, Yealy DM. Analyzing causal relationships between treating
clinicians and patient admission and mortality in low-risk pneumonia patients. Society for Academic Emergency
Medicine Annual Meeting (2000) 470-471.
8.
Cooper GF, Buchanan BG, Chapman WW, Hanbury P, Kayaalp M, Saul MI. IPS: A system that uses machine learning
to help locate patient records for clinical research. In: Proceedings of the Annual Symposium of the American Medical
Informatics Association (2001) 813.
9.
Kayaalp M, Cooper GF, Clermont G. Learning patient-specific temporal models from data. In: Proceedings of Science
2001: A Research Odyssey, Spotlight Session II “Informatics for 21 st Century Science” sponsored by the University of
Pittsburgh (Pittsburgh Pennsylvania, September 12-14, 2001) (poster).
10. Mani S, Cooper GF. A study in causal discovery from coded and textual medical data. In: Proceedings of Science
2001: A Research Odyssey, Spotlight Session II “Informatics for 21 st Century Science” sponsored by the University of
Pittsburgh (Pittsburgh Pennsylvania, September 12-14, 2001) (poster).
11. Yoo C, Cooper GF. Causal pathway discovery from a mixture of experimental and observational gene expression data.
In: Proceedings of Science 2001: A Research Odyssey, Spotlight Session II “Informatics for 21 st Century Science”
sponsored by the University of Pittsburgh (Pittsburgh Pennsylvania, September 12-14, 2001) (poster).
12. Buchanan BG, Chapman W, Cooper GF, Hanbury P, Kayaalp M, Ramachandran M, Saul M. Creating a software tool for
the clinical researchers – the IPS system. In: Proceedings of the Annual Symposium of the American Medical Informatics
Association (2002) 1210.
13. Wang W, Cooper GF. A Bayesian method for biological pathway discovery from high-throughput experimental data.
Computational Systems Bioinformatics Conference (2004) (poster).
14. Mani S, Cooper GF. BLCD2: A Bayesian local casual discovery algorithm. Workshop on Intelligent Data Analysis in
Medicine and Pharmacology (2004).
11
15. Neill DB, Moore AW, Cooper GF., A Bayesian scan statistic for spatial cluster detection. In: Proceedings of the
National Syndromic Surveillance Conference (2005).22
16. Adamou C, Cooper GF, Wong WK, Dowling JN, Hogan WR. Modeling clinician detection time of a disease outbreak
due to inhalational anthrax. In: Proceedings of the National Syndromic Surveillance Conference (2005) (poster).
17. Shen Y, Wong WK, Cooper GF., A generalization of the AMOC curve. In: Proceedings of the National Syndromic
Surveillance Conference (2005).
18. Shen Y, Wong WK, Cooper GF. Estimating the expected warning time of outbreak-detection algorithms. Advances in
Disease Surveillance 1 (2006) 65.
19. Cooper GF, Dowling JN, Levander JD, Sutovsky P. A Bayesian algorithm for detecting CDC category A outbreak
diseases from emergency department chief complaints. In: Proceedings of the National Syndromic Surveillance
Conference (2006).
20. Chapman WW, Dowling JN, Cooper GF, Hauskrecht M, Valko M, Bridewell W. A comparison of automated
and manual classification of acute lower respiratory syndrome from emergency department reports (abstract). J.
Advances in Disease Surveillance; 2006.
21. Shen Y, Wong WK, Levander J, Cooper GF. An outbreak detection algorithm that efficiently performs complete
Bayesian model averaging over all possible spatial distributions of disease. Advances in Disease Surveillance 4 (2007)
113.
22. Mezger, J., Visweswaran, S., Hauskrecht, M., Clermont, G., Cooper, G.F. A statistical approach for detecting deviations
from usual medical care. Proceedings of the Symposium of the American Medical Informatics Association (2007) 1051
(abstract).
23. Jiang X, Cooper GF. A temporal method for outbreak detection using a Bayesian networks. In: Proceedings of the
International Symposium on Disease Surveillance (2008).
24. Barmada MM, Visweswaran S, Hennings-Yeomans P, Bui K, Cooper G. Predicting patient outcomes from clinical and
genome-wide data. Annual Conference of the American Society for Human Genetics (2010) (poster).
25. Hennings-Yeomans P, Cooper GF. Using multiresolution transformations for predicting clinical outcomes from genomewide data. Ninth IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Cold Spring
Harbor Laboratory (2010) (poster).
26. Jiang X, Cooper GF. Joint SNP analysis using a breast cancer GWAS data set (abstract). In: Proceedings of
Cancer Bioinformatics Workshop. Cambridge UK; 2010 Sep.
PROFESSIONAL ACTIVITIES
Teaching
1987
Taught the course Computer-Assisted Medical Decision Making at Stanford University,
Stanford, California.
1988 - 1990
Directed a programming project course at Stanford University, Stanford, California, on
developing computer-based medical decision aids.
1991
Taught the course “Introduction to Medical Informatics” at the University of Pittsburgh
1993, 1996
Organized the Medical Informatics Journal Club and Colloquium, Section of Medical
Informatics, University of Pittsburgh
22
This research was awarded first place at the conference, based on its content and presentation.
12
1994 - 1995
Co-organized the Medical Informatics Journal Club and Colloquium, Section of Medical
Informatics, University of Pittsburgh
1996
Offered a medical informatics doctoral research seminar to assist doctoral students in
selecting and preparing to carry out a doctoral dissertation
1996
Organized and chaired a panel discussion on “Machine Learning Under Uncertainty”,
Conference on Uncertainty in Artificial Intelligence
1996
Gave a tutorial on “Learning Probabilistic Networks from Data”, Conference on
Uncertainty in Artificial Intelligence
2004
Course director for a project course in the Intelligent Systems Studies Program
1992-2008
Taught the course “Probabilistic Methods for Computer-Based Decision Support” at the
University of Pittsburgh in the following years: 1992, 1994, 1996, 1997, 1998, 2000, 2001, 2002,
2004, 2006, 2008, 2010.
2008, 2010
Developed and offered a “Biomedical Informatics Project Course” in the Department
of Biomedical Informatics
Advising
Advisor to the following graduate students at Stanford University:
Isabelle de Zegher, M.S. (obtained 1987) — served as one of her principal advisors
Janet McLaughlin, M.S. (obtained 1987) — served as one of her principal advisors
Leslie Perreault, M.S. (obtained 1987) — served as one of her principal advisors
Homer Chin, M.S. (obtained 1988) — served as his primary advisor
Michael Shwe, M.S. (obtained 1990) — served as his primary advisor
Henri J. Suermondt, M.S. (obtained 1990), Ph.D. (obtained 1992) — served as his primary advisor
Martin Chavez, Ph.D. (obtained 1990) — served as his primary advisor
Edward Herskovits, Ph.D. (obtained 1991) — served as his primary advisor
Advisor to the following graduate students in the Intelligent Systems Program at the University of Pittsburgh:
Michael Wagner, M.S. (obtained 1991), Ph.D. (obtained 1995) — served as his primary advisor
Arthur DeCillis, M.S. (obtained 1994) — served as one of his principal advisors
Constantin Aliferis, M.S. (obtained 1994), Ph.D. (obtained 1998) — served as his primary advisor
Stefano Monti: M.S. (obtained 1996), Ph.D. (obtained 1999) — served as his primary advisor
Changwon Yoo, Ph.D. (obtained 2003) — served as his primary advisor
Gil Citro, Ph.D. (obtained 2004) — served as his primary advisor
Mehmet Kayaalp, Ph.D. (obtained 2004) — served as his primary advisor
Subramani Mani, Ph.D. (obtained 2005) — served as his primary advisor
Shyam Visweswaran, Ph.D. (obtained 2007) – served as his primary advisor
Yanna Shen, Ph.D (obtained 2009) – served as her primary advisor
Yuriy Sverchkov (Ph.D. expected in 2012) – serving as his primary advisor.
Advisor to the following graduate students in the Biomedical Informatics Training Program at the University of
Pittsburgh:
Xia Jiang, Ph.D. (obtained 2008) – served as her primary advisor.
Advisor to the following graduate students in Information Science at the University of Pittsburgh:
Peter Sutovsky (PhD. expected in summer 2011) – serving as his primary mentor
Member of the dissertation committee of the following graduate students at the University of Pittsburgh, Carnegie Mellon
University (CMU), and other:
13
Richard Ambrosino, M.S. in the Intelligent Systems Program (obtained 1994)
Ph.D. in the Intelligent Systems Program (obtained 2000)
Bing Ling, Ph.D. in Computer Science (obtained 1994)
Yongwon Lee, Ph.D. in Computer Science (obtained 1995)
Remco Bouckaert, Ph.D. in Computer Science, University of Utrecht, Netherlands (obtained 1995)
Chris Meek, Ph.D. in Philosophy at CMU (obtained 1996)
Ahmad Hashem, M.S. in Psychology (obtained 1997) — served as one of his principal advisors
Hanhwe han Kim, Ph.D. in Information Science and Telecommunications (obtained 1997)
Ahmad Hashem, Ph.D. in Psychology (obtained 2001)
Ioannis Tsamardinos, Ph.D. in Intelligence Systems Program (obtained 2001)
Jian Cheng, Ph.D. in Information Science and Telecommunications (obtained 2001)
Gerardina Hernandez, Ph.D. in the Intelligent Systems Program (obtained 2002)
Dimitris Margaritis, Ph.D. in Computer Science at CMU (obtained 2002)
Daniel Hennessy, Ph.D. in Intelligent Systems Program (obtained 2002)
Tianjiao Chu, Ph.D. in Philosophy at CMU (obtained 2003)
Lawrence Zitnick, Ph.D. in Computer Science at CMU (obtained 2003)
Tsai-Ching Lu, Ph.D. in Information Science (obtained 2003)
Weng-Keen Wong, Ph.D. in Computer Science at CMU (obtained 2004)
Will Bridewell, Ph.D. in Computer Science at University of Pittsburgh (obtained 2005)
Jagan Dara, M.S. in Biomedical Informatics at University of Pittsburgh (obtained 2006)
Branislav Kveton, Ph.D. in Intelligent Systems Program (obtained 2006)
Changhe Yuan, Ph.D. in Intelligent Systems Program (obtained 2006)
Daniel Neill, Ph.D. in Computer Science at CMU (obtained 2006)
David Dougall, Ph.D. in Biomedical Informatics (obtained 2007)
Eric Williams, M.S. in Intelligent Systems Program (obtained 2007)
Richard Pelikan, M.S. in Intelligent Systems Program (obtained 2007)
Jialan Que, M.S. in Intelligent Systems Program (obtained 2008)
Kaustav Das, Ph.D. in Computer Science at CMU (obtained 2009)
Robin Sabhnani, Ph.D. in Computer Science at CMU (expected 2011)
Member of the comprehensive examination committee of the following graduate students at the University of Pittsburgh
(other than own advisees): Tsai-Ching Lu, Haiqin Wang, Denver Dash, Jeremy Espino, Andrew Post, David Dougall,
Changhe Yuan, Pinaki Mitra, Jagan Dara, Webster Kelsey, Richard Pelikan, Jialan Que, Eric Williams, Himanshu Grover,
Shuguang Wang, Saeed Amizadeh.
RESEARCH
Summary of Research Interests
Primary research interests involve the use of decision theory, probability theory, Bayesian statistics, machine
learning, and artificial intelligence to address biomedical informatics research problems, including causal modeling
and discovery from clinical and biological data, computer-aided medical diagnosis and prediction, computer-based
alerting, and biosurveillance of disease outbreaks.
Current Grant Support
Grant number: 5 R01 LM01002 (PI: G. Cooper)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Predicting Patient Outcomes from Clinical and Genome-Wide Data
Role on project: PI
%Effort: 35
Funding period: 09/01/09-08/31/12
Direct amount during entire funding period: $767,187
Indirect amount during entire funding period: $395,101
Total amount (direct + indirect) during entire funding period: $1,162,288
Grant number: 5 P01 HK00086 (P01 PI: M. Wagner)
Granting agency: Center for Disease Control
Title: University of Pittsburgh Center for Advanced Study of Informatics in Public Health
14
Role on project: PI of a research project within the P01
%Effort: 10
Funding period: 09/01/09-08/31/14
Direct amount during entire funding period: $3,431,705
Indirect amount during entire funding period: $ 1,602,060
Total amount (direct + indirect) during entire funding period: $5,033,765
Grant number: IIS 0911032 (PI: A. Dubrawski)
Granting agency: National Science Foundation (through Carnegie Mellon University)
Title: Discovering Complex Anomalous Patterns
Role on project: Co-PI of subaccount to the University of Pittsburgh
%Effort: 20
Funding period: 09/01/09-08/31/13
Direct amount during entire funding period: $1,606,670
Indirect amount during entire funding period: $341,945
Total amount (direct + indirect) during entire funding period: $1,948,615
Grant number: 5 R01 GM08824 (PIs: G. Clermont/M. Hauskrecht)
Granting agency: National Institute of General Medical Sciences / National Institutes of Health
Title: Detecting Deviations in Clinical Care in ICU Data Streams
Role on project: Co-investigator
%Effort: 12.5
Funding period: 09/01/09-06/30/12
Direct amount during entire funding period: $1,044,337
Indirect amount during entire funding period: $517,233
Total amount (direct + indirect) during entire funding period: $1,561,570
Grant number: 5 R01 LM10019 (PI: M. Hauskrecht)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Using Medical Records Repositories to Improve the Design of Alerting Systems
Role on project: Co-investigator
%Effort: 12.5
Funding period: 09/30/09-09/29/12
Direct amount during entire funding period: $759,306
Indirect amount during entire funding period: $378,373
Total amount (direct + indirect) during entire funding period: $1,137,679
Grant number: 5 R01 LM009132 (PI: M. Wagner)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Decision Making in Biosurveillance
Role on project: Co-investigator
%Effort: 1
Funding period: 10/01/08-09/30/12
Direct amount during entire funding period: $1,264,589
Indirect amount during entire funding period: $638,946
Total amount (direct + indirect) during entire funding period: $1,903,535
Grant number: HHS N276201000030C (PI: S. Visweswaran)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Computational Thinking to Support Clinicians and Biomedical Scientists
Role on project: Co-investigator
%Effort: 5
Funding period: 9/27/10-9/26/12
Direct amount during entire funding period: $255,631
Indirect amount during entire funding period: $125,084
Total amount (direct + indirect) during entire funding period: $380,715
Grant number: 1 R01 LM010950-01 (PI: V. Gopalakrishnan)
Granting agency: National Library of Medicine / National Institutes of Health
15
Title: Bayesian Rule Learning Methods for Disease Prediction and Biomarker Discovery
Role on project: Co-investigator
%Effort: 5
Funding period: 8/15/11-6/30/14
Direct amount during entire funding period: $892,828
Indirect amount during entire funding period: $377,741
Total amount (direct + indirect) during entire funding period: $1,270,569
Prior Grant Support (during the previous ten years; in reverse chronological order)
Grant number: 1 R01 LM009427 (PI: W. Chapman)
Granting agency: National Library of Medicine / National Institutes of Health
Title: NLP Foundation Studies and Ontologies for Syndromic Surveillance from ED Reports
Role on project: Co-investigator
%Effort: 2.5
Funding period: 07/16/07-06/30/10
Direct amount during entire funding period: $807,369
Indirect amount during entire funding period: $391,574
Total amount (direct + indirect) during entire funding period: $1,198,943
Grant number: 5 UL1 RR024153-02 (PI: S. Reis)
Granting agency: NCRR
Title: Center for Clinical and Translational Information (CCTI) of the University of Pittsburgh Clinical and Translational
Research Institute
Role on project: Co-investigator
%Effort: 5
Funding period (for G.F. Cooper): 10/01/06-02/28/09
Direct amount during entire funding period: $75,357,145
Indirect amount during entire funding period: $8,227,870
Total amount (direct + indirect) during entire funding period: $83,585,015
Grant number: IIS 0325581 (PI: G.F. Cooper)
Granting agency: National Science Foundation
Title: Bayesian Modeling for Biosurveillance
Role on project: PI
%Effort: 30
Funding period: 09/15/03 – 08/31/09
Direct amount during entire funding period: $2,859,179
Indirect amount during entire funding period: $659,572
Total amount (direct + indirect) during entire funding period: $3,518,751
Grant number: 1 R21 LM009102 (PI: M. Hauskrecht)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Evidence Based Anomaly Detection in Clinical Databases
Role on project: Co-investigator
%Effort: 4.5
Funding period: 04/01/07-03/31/09
Direct amount during entire funding period: $247,500
Indirect amount during entire funding period: $111,346
Total amount (direct + indirect) during entire funding period: $358,846
Grant number: 5 R01 PH000026 (PI: W.R. Hogan)
Granting agency: Centers for Disease Control and Prevention
Title: Improving Detection of Outbreaks Due to Aerosol Attacks
Role on project: Co-investigator
%Effort: 10
Funding period: 09/30/05-01/31/09
Direct amount during entire funding period: $1,076,740
Indirect amount during entire funding period: $517,369
Total amount (direct + indirect) during entire funding period: $1,594,109
16
Grant number: R01 LM008374 (PI: G.F. Cooper)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Learning Patient-Specific Models from Clinical Data
Role on project: PI
%Effort: 20
Funding period: 01/24/05 – 01/23/09
Direct amount during entire funding period: $602,741
Indirect amount during entire funding period: $252,005
Total amount (direct + indirect) during entire funding period: $854,746
Grant number: T15-LM/DE07059-17 (PI: G.F. Cooper from 9/2005 through 12/2008)
Granting Agency: National Library of Medicine / National Institutes of Health
Title: Pittsburgh Medical Informatics Training Program
Role on project: PI
%Effort: 10
Funding period (for entire grant): 7/1/07 – 6/30/12
Direct amount during entire funding period: $4,817,616
Indirect amount during entire funding period: $273,986
Total amount (direct + indirect) during entire funding period: $5,091,602
Grant number: F30602-01-2-0550 (PI: M.M. Wagner)
Granting agency: Defense Advanced Research Projects Agency (DARPA)
Title: Scalable Bio-Surveillance Systems
Role on project: Co-investigator
%Effort: 13
Funding period: 08/13/01 – 9/30/08
Direct amount during entire funding period: $3,003,982
Indirect amount during entire funding period: $929,289
Total amount (direct + indirect) during entire funding period: $3,933,271
Grant number: ME-01-737 (PI: M.M. Wagner)
Granting agency: Pennsylvania Department of Health
Title: Building an Early Warning Public Health Surveillance System
Role on project: Co-investigator
%Effort: 15
Funding period: 07/01/02-06/30/06
Direct amount during entire funding period: $5,172,343
Indirect amount during entire funding period: $867,695
Total amount (direct + indirect) during entire funding period: $6,040,038
Grant number: NRA2-37143 (PI: C. Glymour)
Granting agency: National Aeronautics & Space Administration (NASA)
Title: Automated Discovery Procedures for Gene Expression and Regulation from Microarray and Serial Analysis of Gene
Expression Data
Role on project: PI on subcontract from CMU
%Effort: 3
Funding period: 03/01/01-2/28/05
Direct amount during entire funding period (subcontract): $173,104
Grant number: D43-TW01287-03 (PI: C. Gadd)
Granting agency: National Library of Medicine and the Fogarty International Center / National Institutes of Health
Title: Medical Informatics Training for Africa
Role on project: Instructor
%Effort: 5
Funding period: 9/30/99 – 5/31/03
Direct amount during entire funding period: $615,816
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Grant number: G08-LM06625 (PI: C.P. Friedman)
Granting agency: National Library of Medicine / National Institutes of Health
Title: IAIMS Implementation: Advancing the Academic Mission
Role on project: Co-investigator
%Effort: 10
Funding period: 5/1/98 – 4/30/03
Direct amount during entire funding period: $2,750,000
Grant number: T15-LM/DE07059-15 (PI: C.P. Friedman)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Pittsburgh Medical Informatics Training Program
Role on project: Co-director
%Effort: 10 (donated)
Funding period: 7/1/97 – 6/30/02
Direct amount during entire funding period: $3,769,971
Grant number: T15-LM07059-15S2 (PI: C.P. Friedman)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Pittsburgh Medical Informatics Training Program—Health Service Research Supplemental
Role on project: Co-investigator
%Effort: 5
Funding period: 7/1/01 – 6/30/02
Direct amount (supporting G.F. Cooper) during entire funding period: $49,806
Grant number: R01-LM06759 (PI: B.G. Buchanan)
Granting agency: National Library of Medicine / National Institutes of Health
Title: Data Mining and Model Building in Medical Informatics
Role on project: Co-investigator
%Effort: 9
Funding period: 5/1/99 – 4/30/02
Direct amount (supporting G.F. Cooper) during entire funding period: $49,788
Grant number: IIS-9812021 (PI: G.F. Cooper)
Granting agency: National Science Foundation
Title: Causal Discovery from a Mixture of Experimental and Observational Data
Role on project: PI
%Effort: 18
Funding period: 9/01/98 – 2/28/02
Direct amount during entire funding period: $254,900
Grant number: R01-LM06696 (PI: G.F. Cooper)
Granting Agency: National Library of Medicine / National Institutes of Health
Title: Methods to Model Cause and Effect from Clinical Data
Role on project:
%Effort: 40
Funding period: 9/3-/98 – 8/31/01
Direct amount during entire funding period: $393,102
Lectures, Seminars, and Presentations
“A Retrieval System for a Time-Oriented Database.” The Sixth Annual Conference of the Society for Computer Medicine,
1976.
“A Method for Using Belief Networks as Influence Diagrams.” Annual Meeting of the Association for Uncertainty in
Artificial Intelligence, Minneapolis, Minnesota, 1988. (Poster)
“An Algorithm for Computing Probabilistic Propositions.” Annual Meeting of the Association for Uncertainty in Artificial
Intelligence, 1989.
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“Kutató: An Entropy-Driven System for the Construction of Probabilistic Expert Systems from Databases. Annual Meeting
of the Association for Uncertainty in Artificial Intelligence, 1990.
“A Bayesian Method for Constructing Bayesian Belief Networks from Databases.” Annual Meeting of the Association for
Uncertainty in Artificial Intelligence, 1991.
“A Bayesian Method for Learning Belief Networks that Contain Hidden Variables.” Workshop on Knowledge Discovery in
Databases, 1993.
“Patient Simulation Using Seamless Digital Video.” Symposium on Computer Applications in Medical Care, 1993.
“Improving the Cost Effectiveness of Health Care Through Machine Learning Applied to Large Clinical Databases.” Annual
Meeting of the Biomedical Engineering Society, 1994.
“Causal Discovery from Data in the Presence of Selection Bias.” Workshop on Artificial Intelligence and Statistics, 1995.
Delivered three lectures in course “Introduction to Medical Informatics”, University of Pittsburgh, Pittsburgh,
Pennsylvania, October and November 1995.
Research Colloquia Series, Intelligent Systems Program, University of Pittsburgh, Pittsburgh, Pennsylvania, October
1995.
Workshop on Evaluation of Knowledge-Based Systems held at the National Library of Medicine, Bethesda, Maryland,
December 1995.
Nursing Informatics Seminar, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, February 1996.
Presented lectures in a symposia on “Learning Graphical Models”, NATO Advanced Study Institute, in association with
the Galileo Galilei Foundation, World Federation of Scientists, Sicily, Italy, September 1996.
Presented a talk with Chuck Friedman on Medical Informatics to premed students at Carnegie Mellon University,
Pittsburgh, Pennsylvania, February 1998.
"A Bayesian Approach to the Representation and Discovery of Causal Relationships." Graduate Statistics Course,
Carnegie Mellon University, Pittsburgh, Pennsylvania, April 1998.
“Predicting Dire Outcomes of Patients with Community Acquired Pneumonia.” Center for Biomedical Informatics
Research Colloquium, Pittsburgh, Pennsylvania, May 1998.
“Causal Knowledge from Clinical Data.” Presented at the Second Annual Lindberg Lecture, sponsored by the Center for
Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, June 19, 1998.
“Representing and Learning Causal Relationships.” Opening ceremony presentation to the Annual Conference of the American
Association for Artificial Intelligence (AAAI), Madison, Wisconsin, July 24-26, 1998.
“Causal Discovey.” CEDAR Research, Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania,
September 1998.
“The Discovery of Causal Knowledge from a Mixture of Observational and Experimental Data.” Seminar Series, Department
of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, October 8, 1998.
“Clinical Modeling and Cost-Effective Healthcare Delivery.” Annual Meeting of the Biomedical Engineering Society,
Cleveland Clinic Foundation, Cleveland, Ohio, October 12, 1998.
“Using Computer Modeling to Help Identify Patient Subgroups in Clinical Data Repositories.” Annual Symposium of the
American Medical Informatics Association, Orlando, Florida, November 7-11, 1998.
“Causal Discovery from a Mixture of Experimental and Observational Data.” Annual Meeting of the Conference on
Uncertainty in Artificial Intelligence, Stockholm, Sweden, 1999. (Poster)
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“Clinical Modeling and Cost-Effect Healthcare Delivery.” Annual Conference of the Classification Society of North
America, University of Pittsburgh, School of Information Sciences, Pittsburgh, Pennsylvania, June 12, 1999. (Invited)
“A Comparison of Clinicians in an Emergency Department Regarding Patient Admission and Mortality in Low-Risk
Pneumonia Patients.” Annual Meeting of the Society for Academic Emergency Medicine, San Francisco,
California, May 23-24, 2000.
“Analyzing Causal Relationships Between Treating Clinicians and Patient Admission and Mortality in Low-Risk Pneumonia
Patients.” Annual Meeting of the Society for Academic Emergency Medicine, San Francisco, California, May 23-24, 2000.
(Poster).
“Causal Modeling and Discovery Under Selection.” Annual Meeting of the Conference on Uncertainty in Artificial
Intelligence, Stanford University, June 30-July 3, 2000. (Poster)
“Decision Making and Probabilistic Reasoning.” Presentation to course “Introduction to Medical Informatics”,
Center for Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, October 4, 2000. (Invited)
“A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with
Low Risk Community-Acquired Pneumonia,” Annual Symposium of the American Medical Informatics
Association, Los Angeles, California, November 4-8, 2000.
“Identifying Patient Subsets Using the IPS Computer System.” Presentation to the Clinical Advisory Committee of
the Pittsburgh Regional Healthcare Initiative, St. Francis Hospital, Pittsburgh, Pennsylvania, January 25, 2001.
Lectured on: “Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network”
(article by Ideker T, Thorsson V, Ranish JA, Christmas R, Buhler J, Eng JK, Bumgarner R, Goodlett DR, Aebersold
R, Hood L, published in Science 292 (May 4): 929-934, 2001) to student in course, Bioinformatics@Pitt, Center for
Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, May 14, 2001.
“Identifying Patient Sets.” Presentation to the Pittsburgh Integrated Advanced Information Management Systems
(IAIMS) Retreat, April 22, 2002.
“Research Issues in Discovering Gene-Regulation Pathways Using Causal Bayesian Networks.” Invited speaker at
the Harvard Biomedical Informatics Grand Rounds, Boston, Massachusetts, April 29, 2002.
“An Overview of the Representation and Discovery of Causal Relationships Using Bayesian Networks“ Department
of Informatics, University of Nijmegen, Amsterdam, The Netherlands, October 28, 2002.
“Creating a Software Tool for the Clinical Researcher: The IPS (Identify Patient Sets) System.” Annual Symposium
of the American Medical Informatics Association (AMIA), November 11, 2002.
“Modeling and Discovery of Gene-Regulation Pathways.” Panel Discussant: Knowledge Discovery in Molecular
Medicine: Computational Approaches to Mining, Visualizing, and Understanding Molecular Data.” Annual
Symposium of the American Medical Informatics Association (AMIA), November 11, 2002.
“Bayesian Biosurveillance Methods.” Presentation to the Defense Advanced Research Projects Agency (DARPA),
Bio-ALIRT (Biosurveillance) Meeting 2, Potomac Institute and Schafer Corporation, Arlington, Virginia, December
3, 2002.
Panel Discussant, Session on “From Genomics to Clinical Informatics.” Annual Symposium of the American
College of Medical Informatics (ACMI) 2002 “Training the Next Generation of Informaticians: The Impact of
Bioinformatics.” Palm Springs, California, February 15, 2002.
“Bayesian Biosurveillance Using Causal Networks.” Invited speaker at the DIMACS Tutorial on Statistical and
Other Analytic Health Surveillance Methods, June 17-20, 2003, Rutgers University.
“Bayesian Biosurveillance Using Causal Networks.” Invited speaker at the University of Wisconsin in Madison,
Biomedical Informatics Colloquium, October 17, 2003.
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“ Bayesian Biosurveillance.” Lecture in a course on biosurveillance offered by the Biomedical Informatics Training
Program at the University of Pittsburgh, February 24, 2004.
“Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain.” Invited speaker at the Artificial
Intelligence Colloquium of the School of Business at the University of Kansas at Lawrence, September 24, 2004.
“Bayesian Biosurveillance Using Multiple Data Streams.” Panel Discussant, CDC Statistical Methods Symposium,
Bethesda, MD, March 2, 2005.
“Estimating the Expected Warning Time of Disease Outbreak Detection Algorithms.” Speaker in Spotlight Session on
Modeling Health Care and Public Health Decisions, Science-2005 Symposium, University of Pittsburgh, October 6,
2005.
“Bayesian Biosurveillance.” Invited Speaker at the Intelligence and Security Informatics Conference, May 23, 2006.
“Update on Bayesian Biosurveillance.” ICML 2006 Workshop on Machine Learning Algorithms for Surveillance and
Event Detection, Carnegie Mellon University, June 29, 2006.
“An Introduction to Casual Modeling and Discovery Using Graphical Models.” Invited Speaker at NIPS 2006
Workshop, Whistler, BC, Canada, December 8, 2006.
“Efficient Bayesian Model Averaging.” Invited Speaker, Department of Biostatistics, Bioinformatics, &
Epidemiology, Medical University of South Carolina. December 3, 2007.
“Bayesian Outbreak Detection and Characterization.” Invited Speaker, International Society for Disease
Surveillance Webinar on Applications of Bayesian Statistics for Biosurveillance, January 28, 2010.
http://isds.wikispaces.com/28+January+2010
“An Efficient Bayesian Method for Predicting Clinical Outcomes from Genome-Wide Data.” Invited Speaker,
Department of Human Genetics Spring Seminar Series. April 16, 2010.
“An Efficient Bayesian Method for Predicting Clinical Outcomes from Genome-Wide Data.” Annual Symposium of
the American Medical Informatics Association. November 16, 2010.
Other Research Related Activities
Editorial Board Memberships
International Journal of Approximate Reasoning (1990 to 1993)
Journal of Data Mining and Knowledge Discovery (1996 to 1998)
Journal of Artificial Intelligence Research (1997 to 1999)
Machine Learning Journal (1997 to 2000)
Artificial Intelligence in Medicine (1990 to present)
Journal of Biomedical Informatics (2002 to present)
Journal Refereeing
Annals of Statistics
Artificial Intelligence Journal
Bioinformatics
Data Mining and Knowledge Discovery
Decision Analysis Journal
IEEE Pattern Analysis and Machine Intelligence Journal
International Journal of Approximate Reasoning
Journal of the American Medical Informatics Association
Journal of Biomedical Informatics
Journal of Machine Learning Research
Machine Learning Journal
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Study Sections
Various N.I.H. and N.S.F. Ad Hoc Study Sections
Most recent participation:
Member, National Library of Medicine Ad Hoc Study Section, November 2004.
Chair, National Library of Medicine Ad Hoc Study Section, March 2005.
Chair, National Library of Medicine Ad Hoc Study Section, November 2005.
Chair, National Library of Medicine Ad Hoc Study Section, July 2006.
Member, National Library of Medicine Standing Study Section (BLIRC), 2009 to 2011.
Chair, National Library of Medicine Standing Study Section (BLIRC), 2011 to 2013.
SERVICE
University and Medical School
Director, University of Pittsburgh Biomedical Informatics Training Program, Center for Biomedical Informatics,
June 1, 1994 – June 30, 1997 and July 1, 2005 – December 31, 2008.
Member of the Integrated Advanced Information Management Systems (IAIMS) Operations Committee, University
of Pittsburgh, July 1, 1996 – 2004.
Career advisor for the University of Pittsburgh M.D./Ph.D program, Pittsburgh, Pennsylvania, 1997 – 2003.
Co-Director, University of Pittsburgh Biomedical Informatics Training Program, Center for Biomedical Informatics,
July 1, 1997 – 2005.
Chair, Trainee Evaluation Committee, University of Pittsburgh Biomedical Informatics Training Program, Center
for Biomedical Informatics, September 1, 2002 – 2005.
Founding Director, Laboratory for Causal Modeling and Discovery (LCMD), University of Pittsburgh School of
Medicine, 2000 – present.
Member of the core faculty of the Intelligent Systems Program (ISP), University of Pittsburgh, Pittsburgh,
Pennsylvania, July 1990 – present.
Co-Director, Intelligent Systems Program, University of Pittsburgh, 2002 – 2004.
Acting Director, Center for Biomedical Informatics, University of Pittsburgh, July 1, 2003 – June 30, 2004.
Director, Center for Biomedical Informatics, University of Pittsburgh, 2004 – 2006.
Curriculum Committee Member, Biomedical Informatics Training Program, 2005 – 2008.
Evaluation Committee Co-Chair, Biomedical Informatics Training Program, 2003 – 2008.
Evaluation Committee Member, Biomedical Informatics Training Program, 2009.
Member of School of Medicine Graduate Faculty Council, 2005 – December 31, 2008.
Vice Chair, Department of Biomedical Informatics, 2006 – present.
Strategic Planning Group member, Department of Biomedical Informatics, 2006 – present.
National and International
Scientific Program Co-chair of the 1998 Conference on Uncertainty in Artificial Intelligence (Madison, Wisconsin).
General Chair of the 1999 Conference on Uncertainty in Artificial Intelligence (Stockholm, Sweden).
Chair, Scientific Affairs Committee, American College of Medical Informatics, 1/1/2003 – 1/1/2005.
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Executive Committee Member, American College of Medical Informatics, 1/1/2007 – 1/1/2009.
Program Committee Member of the Following Scientific Meetings (various years):
Conference of the American Association for Artificial Intelligence
Conference on Knowledge Discovery in Databases
Conference on Neural Information Processing
Conference on Uncertainty in Artificial Intelligence
International Workshop on Artificial Intelligence and Statistics
International Joint Conference on Artificial Intelligence
Symposium on Computer Applications in Medical Care
Conference of the American Medical Informatics Association
NSF BioSurveillance Workshop
Member, External Advisory Board of the NYU Clinical and Translational Science Institute (2009 – present)
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