Download Brian P. Hobbs - MD Anderson Cancer Center

March 22, 2017
CURRICULUM VITAE
Brian P. Hobbs
CONTACT INFORMATION
Assistant Professor
Department of Biostatistics
The University of Texas MD Anderson Cancer Center
PO Box 301402, Unit 1411
1400 Pressler Street
Houston, TX 77230-1402
phone: (713) 794-4633; fax: (713) 563-4243
e-mail: [email protected]
EDUCATION
2004 BA, Anthropology
minor, Computer Science, with high distinction University of Iowa
2007 MS, Biostatistics
University of Minnesota
2010 PhD, Biostatistics
University of Minnesota
PROFESSIONAL EXPERIENCE
2011 –
Assistant Professor, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
2010 – 2011
Postdoctoral Fellow, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
ADDITIONAL ACADEMIC APPOINTMENTS & RESPONSIBILITIES
2013 –
Faculty Member, Program in Biostatistics, Bioinformatics, and Systems Biology, The University of Texas
Graduate School of Biomedical Sciences, Houston, TX
2013 – 2015
Statistical Mentor, NIDA Pre-doctoral and Post-doctoral fellowships in Statistical Genetics of Addiction
EXTERNAL ADVISORY BOARDS
2013
Grant Proposal Reviewer, Special Emphasis Panel, National Institute of Diabetes and Digestive and
Kidney Diseases, NIH
2015
Grant Proposal Reviewer, Special Emphasis Panel, National Cancer Institute, NIH
2016
Grant Proposal Reviewer, Medical Research Council, United Kingdom
2017
Invited Contributor to the NCI/NIH Investigational Drug Steering Committee (IDSC) Clinical Trial Design
Task Force Working Group tasked with developing a white paper pertaining to the design and conduct of
seamless phase I/II clinical trials
INSTITUTIONAL COMMITTEE & REVIEW ACTIVITIES
MD Anderson Cancer Center
2013 – 2016
Multidisciplinary Research Advisory Committee
2014 –
Data and Safety Monitoring Board
The University of Texas Graduate School of Biomedical Sciences at Houston
2015 –
Student Scholarship Committee
PEER REVIEWED PUBLICATIONS (*=corresponding author, **=my trainee)
1. Hobbs BP, Carlin BP (2008). Practical Bayesian design and analysis for drug and device clinical trials. J.
Biopharmaceutical Statistics, 18: 54–80.
2. Hobbs BP*, Carlin BP, Mandrekar S, Sargent DJ (2011). Hierarchical commensurate and power prior models for
adaptive incorporation of historical information in clinical trials. Biometrics, 67: 1047–1056.
Curriculum Vitae – Brian P. Hobbs, Ph.D.
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3. Hobbs BP*, Sargent DJ, Carlin BP (2012). Commensurate priors for incorporating historical information in clinical
trials using general and generalized linear models. Bayesian Analysis, 7: 639–674.
4. Schellingerhout D, LeRoux LG, Hobbs BP, Bredow S (2012). Impairment of retrograde neuronal transport in
oxaliplatin-induced neuropathy demonstrated by molecular imaging. PLoS ONE, 7(9):e45776, 9/2012. e-Pub
9/20/2012. PMID: 23029238.
5. Hobbs BP*, Carlin BP, Sargent DJ (2013). Adaptive adjustment of the randomization ratio using historical control
data. Clinical Trials, 10: 430-440.
6. Nute JL, Rong J, Stevens DM, Darensbourg BJ, Cheng J, Wei W, Hobbs BP, Cody DD (2013). Evaluation of over 100
scanner-years of computed tomography daily quality control data. Medical Physics, 40(5):051908-1 to 051908-11.
7. Ng CS, Hobbs BP, Chandler AG, Anderson EF, Herron DH, Charnsangavej C, Yao J (2013). Metastases to the liver from
neuroendocrine tumors: Effect of duration of scan acquisition on CT perfusion values. Radiology, 269(3): 758-767.
8. Rauch GM, Kuerer HM, Scoggins ME, Fox PS, Benveniste AP, Park YM, Lari SA, Hobbs BP, Krishnamurthy S, Yang WT
(2013). Clinicopathologic, mammographic, and sonographic features in 1187 patients with pure ductal carcinoma in
situ of the breast by estrogen receptor status. Breast Cancer Research and Treatment, 139(3): 639-647.
9. Viele K, Berry S, Neuenschwander B, Amzal B, Chen F, Enas N, Hobbs BP, Ibrahim JG, Kinnersley N, Lindborg S,
Micallef S, Roychoudhury S, Thompson L (2014). Use of historical control data for assessing treatment effects in
clinical trials. Pharmaceutical Statistics, 13: 41-54.
10. Murray TA, Hobbs BP, Lystig TC, Carlin BP (2014). Semiparametric Bayesian commensurate survival model for postmarket medical device surveillance with non-exchangeable historical data. Biometrics, 70: 185-91.
11. Ng CS, Chandler AG, Yao J, Herron DH, Anderson EF, Charnsangavej C, Hobbs BP (2014). Effect of pre-enhancement
set-point on CT perfusion values in normal liver and metastases to the liver from neuroendocrine tumors. Journal of
Computer Assisted Tomography, 38(4): 526-34.
12. Castillo S, Castillo R, Balter P, Pan T, Ibbott G, Hobbs B, Yuan Y, Guerrero T (2014). Assessment of a quantitative
metric for 4D CT artifact evaluation by observer consensus. Journal of Applied Clinical Medical Physics, 15(3): 190201.
13. Amini B, Madewell J, Chuang H, Haygood T, Hobbs B, Fox P, Bassett R, Costelloe C (2014). Differentiation of benign
fluid collections from soft-tissue sarcomas on FDG-PET/CT. Journal of Cancer, 5(5): 328-335.
14. Castillo R, Pham N, Ansari S, Meshkov D, Castillo SJ, Li M, Olanrewaju AM, Hobbs BP, Castillo E, Guerrero T (2014).
Pre-Radiotherapy FDG PET predicts radiation pneumonitis in lung cancer. Radiation Oncology, 9 (74).
15. Caudle A, Yang W, Mittendorf E, Black D, Hwang R, Hobbs B, Hunt K, Krishnamurthy S, Kuerer H (2015). Selective
surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective
feasibility trial. JAMA Surgery, 150(2):137-43.
16. Castillo R, Pham N, Castillo E, Gonzalez SA, Ansari S, Hobbs B, Palacio D, Skinner H, Guerrero T (2015). Pre-radiation
Therapy Fluorine 18 Fluorodeoxyglucose PeT helps identify Patients with esophageal cancer at high-risk for radiation
Pneumonitis. Radiology, 275(3): 822-831. doi:10.1148/radiol.14140457.
17. Tan CH, Hobbs BP, Wei W, Kundra V (2015). Dynamic contrast enhanced MRI for the detection of prostate cancer:
meta-analysis. American Journal of Roentgenology, Apr;204(4):W439-48.
18. Castillo SJ, Castillo R, Castillo E, Balter P, Pan T, Ibbott G, Hobbs B, Guerrero T (2015). Evaluation of 4D CT acquisition
methods designed to reduce artifacts. Journal of Applied Clinical Medical Physics, 16(2).
19. Ng CS, Hobbs BP, Wei W, Anderson E, Herron DH, Yao JC, Chandler AG (2015). Effect on perfusion values of sampling
interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver.
Journal of Computer Assisted Tomography, 39(3): 373-382.
Curriculum Vitae – Brian P. Hobbs, Ph.D.
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20. Ma J**, Hobbs BP, Stingo FC (2015). Statistical methods for establishing personalized treatment rules in oncology.
BioMed Research International, (invited submission), Article ID 67069: 1-13.
21. Wang Y**, Hobbs BP*, Hu J, Ng C, Do KA. Predictive classification of correlated targets with application to detection
of metastatic cancer using functional CT imaging. Biometrics, 71(3): 792-802.
22. Hobbs BP*, Ng CS. Inferring stable acquisition durations for applications of perfusion imaging in oncology. Cancer
Informatics, 14(invited submission): 193-199. e-Pub 5/2015. PMCID: PMC4444141.
23. Murray TA, Hobbs BP, Carlin BP (2015). Combining nonexchangeable functional or survival data sources in oncology
using generalized mixture commensurate priors. Annals of Applied Statistics, 9: 1549-1570.
24. Murray TA, Hobbs BP, Sargent DJ, Carlin BP. Flexible Bayesian survival modeling with semiparametric timedependent and shape-restricted covariate effects. Bayesian Analysis, in press, doi:10.1214/15-BA954.
25. Wang Y**, Hobbs BP*, Ng C. CT perfusion characteristics identify metastatic sites in liver. BioMed Research
International, (invited submission), Article ID 120749: 1-6.
26. Ravoori M, Nishimura M, Singh S, Lu C, Han L, Hobbs BP, Pradeep S, Choi HJ, Bankson J, Sood A, Kundra V. Tumor T1
relaxation time for assessing response to bevacizumab anti-angiogenic therapy in a mouse ovarian cancer model.
PLoS ONE, 10(6): e0131095. doi:10.1371/journal.pone.0131095.
27. Hobbs BP*. On nonparametric hazard estimation. Journal of Biometrics & Biostatistics, 6: 232. doi: 10.4172/21556180.1000232.
28. Raghav KPS, Mahajan S , Yao JC, Hobbs BP, Berry DA, Pentz RD, Tam A, Hong WK, Ellis LM, Abbruzzese J, Overman
MJ. From protocols to publications: a study in selective reporting of outcomes in randomized trials in oncology.
Journal of Clinical Oncology, 33(31): 3583-3590.
29. Hobbs BP*, Thall PF, Lin SH (2016). Bayesian group sequential clinical trial design using total toxicity burden and
progression-free survival. Journal of the Royal Statistical Society: Series C, 65: 273-297.
30. Rohren EM, Etchebehere EC, Araujo JC, Hobbs BP, Swanston NM, Everding M, Moody T, Macapinlac HA.
Determination of skeletal tumor burden on 18F-Fluoride-PET/CT. Journal of Nuclear Medicine, 56(10): 1507-1512.
31. Yao D, Hazle JD, Mohamed ASR, Frank SJ, Hobbs BP, Colen RR, Gunn GG, Wang J, Garden AS, Lai SY, Rosenthal DI,
Fuller CD. Intravoxel incoherent motion imaging kinetics during chemoradiotherapy for human-papilloma virus
associated squamous cell carcinomas of the oropharynx: preliminary results from a prospective pilot study. NMR in
Biomedicine, 28(12): 1645-1654.
32. Rauch GM, Hobbs BP, Kuerer HM, Scoggins ME, Benveniste AP, Park YM, Lari SA, Fox PS, Smith BD, Adrada BE,
Krishnamurthy S, Yang WT. Microcalcifications in 1,657 patients with pure ductal carcinoma in situ of the breast:
mammographic findings with clinical, histopathologic, biologic correlation and analysis of local recurrence. Annals of
Surgical Oncology, 09/2015; DOI: 10.1245/s10434-015-4876-6.
33. Ma J**, Stingo FC, Hobbs BP*. Bayesian predictive modeling for genomic based personalized treatment selection.
Biometrics, 11/17/2015; DOI: 10.1111/biom.12448.
34. Azadeh S**, Hobbs BP, Ma L, Nielsen D, Moeller FG, Baladandayuthapani V. Integrative Bayesian Analysis of
Neuroimaging-Genetic Data with Application to Cocaine Dependence. NeuroImage, Jan 15; 125:813-24. doi:
10.1016/j.neuroimage.2015.10.033.
35. Etchebehere EC, Hobbs BP, Milton DR, Malawi O, Patel S, Benjamin RS, Macapinlac HA. Assessing the role of 18FFDG PET and 18F-FDG PET/CT in the diagnosis of soft tissue musculoskeletal malignancies - A systematic review and
meta-analysis. European Journal of Nuclear Medicine and Molecular Imaging, 12/3/2015, DOI 10.1007/s00259-0153242-z, pages 1-11.
36. Hobbs BP*, Chen N, Lee JJ (2016). Controlled multi-arm platform design using predictive probability. Statistical
Methods in Medical Research, Jan 12. pii: 0962280215620696.
Curriculum Vitae – Brian P. Hobbs, Ph.D.
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37. Kamali F, Wang W-L, Guadagnolo A, Fox PS, Lewis VO, Lazar AJ, Conley AP, Vinod R, Toliyat M, Ladha HS, Hobbs BP,
Amini B (2016). MRI may be used as a prognostic indicator in patients with extra-abdominal desmoid tumours. The
British Journal of Radiology, 2/18/2016; 89(1058):20150308. Epub 11/18/2015.
38. Caudle AS, Yang WT, Krishnamurthy S, Mittendorf EA, Black DM, Gilcrease M, Bedrosian I, Hobbs BP, DeSnyder SG,
Hwang RF, Adrada BE, Shaitelman SF, Mac-Gregor MC, Smith BD, Candelaria RP, Babiera GV, Dogan BE, Santiago L,
Hunt KK, Kuerer HM. Improved Axillary Evaluation Following Neoadjuvant Therapy for Node Positive Breast Cancer
Patients using Targeted Axillary Dissection. Journal of Clinical Oncology, 10.1200/JCO.2015.64.0094; epub
01/25/2016.
39. Fronczyk KM, Guindani M, Hobbs BP, Ng CS, Vannucci M. A Bayesian nonparametric approach for functional data
classification with application to hepatic tissue characterization. Cancer Informatics, in press.
40. Azadeh S**, Hobbs BP*, Ma L, Nielsen D, Moeller FG, Baladandayuthapani V. Integrative Bayesian analysis of
neuroimaging-genetic data through hierarchical dimension reduction. 2016 IEEE International Symposium on
Biomedical Imaging: From Nano to Macro, Prague, Czech Republic, 2016, pp. 824-828.
41. Goepfert RP, Lewin JS, Barrow MP, Fuller GCD, Lai SY, Song J, Hobbs B, Gunn GB, Beadle B, Rosenthal DI, Garden AS,
Kies, M, Papadimitrakopoulou V, Schwartz DL, Hutcheson KA. Predicting Two-Year Longitudinal MD Anderson
Dysphagia Inventory Outcomes after Intensity Modulated Radiotherapy for Locoregionally Advanced Oropharyngeal
Carcinoma. Laryngoscope, in press.
42. Sandulache VC, Hobbs BP, Mohamed ASR, Frank SJ, Song J, Ding Y, Kalpathy-Cramer J, Hazle JD, Wang J, Awan MJ,
Rosenthal DI, Garden AS, Gunn GB, Colen RR, El-shafeey N, El-banan M, Hutcheson KA, Lewin J, Chambers MS,
Hofstede TM, Weber RS, Lai SY, Fuller CD. Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)
detects acute radiotherapy-induced alterations in mandibular bone microvasculature: Results from a prospective
assessment of quantitative imaging biomarkers of normal tissue injury. Nature Scientific Reports, in press.
43. Zhao H, Hobbs BP, Ma H, Jiang Q, Carlin BP. Combining non-randomized and randomized data in clinical trials using
commensurate priors. Health Services and Outcomes Research Methodology, in press.
44. Koopmeiners JS, Hobbs BP. Detecting and accounting for violations of the constancy assumption in non-inferiority
clinical trials. Statistical Methods in Medical Research, in press.
45. Altinmakas E, Hobbs BP, Ghosh P, Grubbs EG, Perrier ND, Prieto V, Lee JE, Ng CS. Diagnostic performance of 18-FFDG-PET-CT in adrenal lesions using histopathology as reference standard. Abdominal Radiology, in press.
46. Ma J**, Hobbs BP, Stingo FC. Integrating genomic signatures for treatment selection with Bayesian predictive failure
time models. Statistical Methods in Medical Research, in press.
47. Li X**, Guindani M, Ng CS, Hobbs BP*. Classification of adrenal lesions through spatial Bayesian modeling of GLCM.
2017 IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 2017, in press.
48. Ehrmann S, Quartin A, Hobbs BP, Robert-Edan V, Cely C, Bell C, Lyons G, Pham T, Schein R, Geng Y, Lakhal K, Ng CS.
Contrast-associated acute kidney injury in the critically ill: systematic review and Bayesian meta-analysis. Intensive
Care Medicine, in press.
49. Xu C, Xi M, Moreno A, Shiraishi Y, Hobbs BP, Huang M, Komaki R, Lin SH. Definitive chemoradiotherapy for
esophageal cancer in the elderly: clinical outcomes for patients exceeding 80 years old. International Journal of
Radiation Oncology*Biology*Physics, in press.
BOOK CHAPTERS
1. Hobbs BP, Lee JJ (2012). Adaptive Trial Design, In Handbook of Statistics in Clinical Oncology, 3rd ed., Ed(s) Crowley J,
Hoering A, Ankerst DP, Chapman and Hall/CRC Press: Boca Raton, FL.
2. Hobbs BP, Berry DA, Coombes KR (2017). Biostatistics and Bioinformatics in Clinical Trials, In Abeloff’s Clinical
Oncology, 6th ed., Niederhuber JE, Armitage JO, Doroshow JH, Kastan MB, Tepper JE, Elsevier: Philadelphia, PA.
Curriculum Vitae – Brian P. Hobbs, Ph.D.
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SUBMITTED FOR PUBLICATION
1. Wang Y**, Hu J, Do KA, Hobbs BP. An Efficient Nonparametric Estimate for Spatially Correlated Functional Data.
2. Ng CS, Altinmakas E, Ghosh P, Wei W, Grubbs EG, Perrier NA, Prieto VG, Lee JE, Hobbs BP. Differentiation of
malignant and benign adrenal lesions with delayed CT imaging: A multivariate analysis.
3. Wang Y**, Hu J, Do KA, Ng CS, Hobbs BP. Multivariate functional classifiers of hepatic metastases integrating scans
and biomarkers from perfusion CT.
4. Kaizer AM, Koopmeiners JS, Hobbs BP. Dynamic multi-resolution smoothing using multi-source exchangeability
models.
5. Ng CS, Altinmakas E, Ghosh P, Wei W, Grubb EG, Perrier NA, Lee JE, Prieto V, Hobbs BP. Differentiation of malignant
and benign adrenal lesions with delayed CT imaging: A Multivariate Analysis with intermediate-delay washout CT
images.
6. Mohamed ASR, Song J, Hutcheson KA, Murri M, Garg N, Hobbs BP, Gunn GB, Sandulache V, Beadle B, Phan J,
Morrison W, Frank SJ, Blanchard P, Garden AS, El-Halawani H, Kamal M, Chambers MS, Lewin JS, Ferrarotto R, Zhu
XR, Zhang X, Hofstede TM, Cardoso RC, Gillenwater AM, Sturgis EM, Weber RS, Rosenthal DI, Fuller CD, Lai SY. Dosevolume correlates of mandibular osteoradionecrosis in oropharynx cancer patients receiving intensity-modulated
radiotherapy: Results from a case-matched comparison.
7. Ma J**, Stingo FC, Hobbs BP*. Bayesian personalized treatment selection strategies that integrate predictive with
prognostic determinants.
8. Xu C, Xi M, Komaki R, Balter PA, Bilton SD, Huang M, Hobbs BP, Wang L, Lin SH. Dosimetric and clinical outcomes
after volumetric modulated arc therapy for carcinoma of the thoracic esophagus.
9. Kuerer HM, Rauch GM, et al. Identification of exceptional responders in whom breast surgery can be eliminated
following neoadjuvant systemic therapy: A feasibility clinical trial.
10. Ng CS, Altinmakas E, Wei W, Ghosh P, Li X, Grubbs EG, Hobbs BP. Optimizing data derived from adrenal CT with
delayed-washout: Enhancing diagnostic performance.
11. Ghosh P, Chandler A, Hobbs BP, Sun J, Rong J, Hong D, Subbiah V, Janku F, Naing A, Hwu W, Ng CS. Effect of aortic
placement on perfusion parameters derived from shuttle-mode computed tomography acquisitions of lung and liver
tumors.
12. Huang M**, Hobbs BP*. Estimating mean local posterior predictive benefit for biomarker-guided treatment
strategies.
13. Kaizer AM, Hobbs BP, Koopmeiners JS. A multi-source adaptive platform design for emerging infectious diseases.
FUNDED GRANTS
1. Co-Investigator, 15%, Spatially Accurate Deformable Image Registration for Thoracic CT Applications, 1 DP2
OD007044, NIH/NIGMS, PI - Thomas Guerrero, 9/30/2010 – 6/30/2015, $7,500,000 ($1,500,000/year).
2. Collaborator, 1.8%, Personalizing Nanoparticle Therapy, 5 R01 CA159042 02, NIH/NCI, PI – Vikas Kundra, 3/1/2011 –
2/29/2016, $1,147,665 ($228,187/year).
3. Co-Investigator (subcontract), 6%, Multimode Laser Optoacoustic Tomography System for Breast Cancer Care, 1 R01
CA167446-01, NIH/NCI, Prime - TomoWaves Laboratory, PI - Alexander Oraevsky, 5/1/2012 – 3/31/2017, $566,415
($70,738/year).
4. Principal Investigator (subcontract), 20%, Statistical Methods and Software for More Efficient, Ethical, and
Affordable Clinical Trials, 1 R01 CA157458 01 A1, NIH/NCI, Prime - Univ. of Minnesota, PI - Bradley Carlin, 6/1/2012 –
5/31/2016, $130,557 ($43,519/year).
Curriculum Vitae – Brian P. Hobbs, Ph.D.
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5. Statistician, 10%, Cancer Center Support Grant - Biostatistics Shared Resource (PPSR-21), 5 P30 CA016672 36,
NIH/NCI, PI - Ronald Depinho, 6/1/2012 – 5/31/2013, $13,006,702 ($611,160/year).
6. Co-Investigator, 5%, A New Radiopharmaceutical for the Treatment of Metastatic Bone Cancer, 2 R44 CA15060102A1, PI – Jim Simon, Iso Therapeutics Group, LLC, 7/1/2013−6/30/2015, $58,520 ($28,018/year).
7. Co-Investigator, 10%, Statistical Methods for Complex Cancer Trials, 5 R01 CA083932, NIH/NCI, PI – Peter Thall,
1/1/2014 – 4/30/2018, $775,000 ($155,000/year).
8. Co-Investigator, 2%, Tumor mutation status will predict metabolic response to metformin in NSCLC, 1 R21
CA182964-01A1, NIH/NCI, PI – Thomas Guerrero; Heath Skinner, 7/1/2014 – 6/30/2016, $457,000.
9. Co-Investigator, 10%, Investigation of the immunologic basis of CT imaging features in non-small cell lung cancer,
Radiological Society of North America, PI – Chad Tang, 7/1/2015 – 6/30/2016, $30,000.
10. Co-Investigator, 10%, Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish
Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis, 1 R01 DE025248-01 NIH/NIDCR, PI –
Stephen Lai, 4/1/2016 – 3/31/2021.
11. Co-Investigator, 27%, Phase II study of combining PD-L1 blockade using MPDL3280A with chemoradiation in
unresectable non-small cell lung cancer, Genetech, PI – Steven Lin, 8/1/2015 – 4/1/2018, $617,259.
12. Core Director, 10%, Improving the Clinical Effectiveness and Understanding of the Biophysical Basis of Proton
Therapy, 5 U19 CA021239, NIH/NCI, PI – Radhe Mohan.
13. Co-Investigator, 5%, Targeted Molecular Imaging of Cell Death in Ovarian Cancer, 1 R21 CA181994-01A1, NIH/NCI, PI
– Steven Millward/Zhen Lu.
14. Co-Investigator, 5%, Visualizing T-cell trafficking, RFA R-16-IIRA-1 RP-160013, Cancer Prevention & Research Institute
of Texas, PI – Vikas Kundra.
15. Co-Investigator, 5%, Development of immune pathology-based radiomics features to predict non-small cell lung
cancer response to checkpoint inhibitors on prospective trials. Conquer Cancer Foundation of the American Society
of Clinical Oncology (Project ID 9757), PI – Chad Tang.
16. Co-Investigator, 10%, Quantitative image analysis for early detection of pancreatic cancer. Project Purple Inc, PI –
Eugene Koay.
17. Co-Investigator, 5%, Optimizing Chemoradiation Strategies by Tumor Metabolism Interrogation. IIRA RP170366,
Cancer Prevention & Research Institute of Texas, PI – Stephen Lai.
SUBMITTED & PENDING GRANTS (PI only)
18. Principal Investigator, 30%, Statistical Methods and Software for Complex Cancer Trials and Radiomics, Individual
Investigator Research Awards for Computational Biology, Cancer Prevention & Research Institute of Texas.
19. Principal Investigator, 40%, Platform-based Clinical Trial Designs for Phase II: Methodology and Software, NIH/NCI.
20. Principal Investigator, 5%, Bayesian approaches for integrating perfusion imaging features to characterize tumor
angiogenesis and early response to therapy, Hogg Foundation.
21. Principal Investigator, 15%, Methods and Software for Integrative Analysis of Tissue Perfusion Biomarkers, Sabin
Family Foundation Fellows Award in Population & Quantitative Science.
22. Co-Principal Investigator, 7%, Collaborative Research: Integration of Multimodal Neuroimaging and Genetics Data
for Personalized Disease Assessment, Unsolicited Proposals for Quantitative Approaches to Biomedical Big Data
(QuBBD) NSF 15-093.
AWARDS & HONORS
2004 Phi Beta Kappa Academic Honor Society
Curriculum Vitae – Brian P. Hobbs, Ph.D.
2007
2008
2008
2010
2010
2010
2011
2015
2016
Jim Boen Award for Outstanding Student Achievement, Division of Biostatistics, The University of Minnesota
Outstanding Teaching Assistant Award, Division of Biostatistics, The University of Minnesota
Student Travel Award, Bayesian Biostatistics Conference, The University of Texas MD Anderson Cancer Center
Student Travel Award, Bayesian Biostatistics Conference, The University of Texas MD Anderson Cancer Center
Jacob E. Bearman Student Achievement Award, Division of Biostatistics, The University of Minnesota
John Van Ryzin Award, Eastern North American Region of International Biometric Society
Poster Award, International Society for Bayesian Analysis/Institute of Mathematical Statistics Meeting
Delta Omega Honorary Society in Public Health at The University of Minnesota School of Public Health
The University of Minnesota School of Public Health Emerging Leader Award
COURSE INSTRUCTION
The University of Texas Graduate School of Biomedical Sciences & Rice University
2014 Topics in Clinical Trials
2016 Topics in Clinical Trials
Guest Lecture
The University of Minnesota
2007 Introduction to Bayesian Analysis
2008 Biostatistics I
2009 Introduction to Bayesian Analysis
Rice University
2012 Topics in Clinical Trials
DOCTORAL STUDENT THESIS ADVISORY
Rice University, Department of Statistics
1. Katherine Shoemaker (in progress)
The University of Texas School of Public Health, Department of Biostatistics
2. Caimiao Wei, “Bayesian modeling of combined endpoints for sequentially adaptive design and confirmatory trial
planning,” May 2015 - Manager, Biostatistics, Pfizer Inc.
3. Shabnam Azadeh, “Integrative Bayesian modeling of imaging and genetic data,” December 2015 – Bayesian
Statistician, Center for Devices and Radiological Health at the Food and Drug Administration (co-advised with Veera
Baladandayuthapani)
- Shabnam gave an invited presentation and radio interview at The 2015 Radiological Society of North
America Annual Meeting
4. Meilin Huang (in progress)
5. Xiao Li (in progress)
DOCTORAL STUDENT ADVISORY COMMITTEE
The University of Texas MD Anderson Cancer Center or Graduate School of Biomedical Sciences
1. Sarah Castillo, Medical Physics, 2013 – 2014
2. Hannah Lee, Medical Physics, 2013 –
3. Trevor Mitcham, Medical Physics, 2015 –
4. Heng Zhou, Biostatistics, Bioinformatics and Systems Biology, 2015 –
5. Youyi Zhang, Biostatistics, Bioinformatics and Systems Biology, 2015 –
6. Fang Xia, Biostatistics, Bioinformatics and Systems Biology, 2016 –
7. Benjamin C. Musall, Experimental Radiation Oncology, 2016 –
POSTDOCTORAL FELLOWS
The University of Texas MD Anderson Cancer Center
1. Yuan Wang, 2013 – 2015 (joint with Kim-Anh Do), Assistant Professor, Department of Mathematics and Statistics,
Washington State University
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Curriculum Vitae – Brian P. Hobbs, Ph.D.
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2. Junsheng Ma, 2013 – 2016 (joint with Francesco Stingo), Research Statistical Analyst, Department of Biostatistics,
The University of Texas MD Anderson Cancer Center
INVITED SHORT COURSES
1. One-day short course, “Recent Advances in Bayesian Adaptive Clinical Trial Design,” Joint Statistical Meetings,
Montreal, QC, CA. Taught jointly with P. Thall, August 4, 2013.
2. One-day short course, “Recent Advances in Bayesian Adaptive Clinical Trial Design,” International Chinese Statistical
Association & Korean International Statistical Society Joint Applied Statistics Symposium, Portland, OR. Taught
jointly with P. Thall, June 15, 2014.
3. Half-day short course, “Recent advances in Bayesian adaptive clinical trial design,” International Society for Bayesian
Analysis 13th World Meeting, Santa Margherita di Pula, Sardina, Italy, June 12, 2016.
4. FDA Minisymposium: Bayesian Update, Adaptive Designs, and Incorporating Historical Information in Phase II and III
Clinical Trials, Silver Spring, MD. Taught jointly with J. Jack Lee, September 22, 2016.
SESSION CHAIR & ORGANIZATION
2015 Chair of invited session, “Novel Designs and Applications of Adaptive Randomization in Medical Research,”
International Chinese Statistical Association Joint Applied Statistics Symposium
2015 Organized contributed session, “Response-Adaptive Randomization: Recent Developments and Controversies,”
National Joint Statistical Meetings/American Statistical Association
2015 Chair of invited session, “Bayes and Nonparametric Bayes Methods in Medical Studies,” National Joint Statistical
Meetings/American Statistical Association
2015 Chair of invited session, “Cancer Imaging Studies,” Integrative Biostatistics Research for Imaging, Genomics, &
High-throughput Technologies in Precision Medicine, The University of Texas MD Anderson Cancer Center
2016 Chair of invited session, “Bayesian Modeling of Complex Data Structures in Medical Imaging,” International
Society for Bayesian Analysis World Meeting
2016 Chair of invited session, “Introductory Overview Lecture: Adaptive Clinical Trial Design,” National Joint Statistical
Meetings/American Statistical Association
2017 Invited to develop and oversee the Discussion Group “Adaptive Clinical Trial Designs: What Works,” at the 2017
Accelerating Anticancer Agent Development and Validation Workshop, jointly sponsored by U.S. Food and Drug
Administration, American Society for Clinical Oncology, and American Association for Cancer Research
OTHER PRESENTATIONS
Invited Department Seminars
2010 Department of Health Studies, The University of Chicago
2010 Department of Preventive Medicine, Northwestern University
2010 Center for Devices and Radiological Health, U.S. Food and Drug Administration
2010 Department of Biostatistics, The University of Texas MD Anderson Cancer Center
2010 Department of Biostatistics, The University of Iowa
2010 Eli Lilly Research Laboratories
2011 Division of Biostatistics and Human Genetics Center, The University of Texas Health Science Center at Houston
2011 Department of Biostatistics, The University of Texas MD Anderson Cancer Center
2011 Division of Biostatistics, The University of Minnesota
2012 Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
2012 Department of Statistics, Rice University
2013 Department of Epidemiology, Biostatistics and Occupational Health, McGill University
2013 Division of Biostatistics and Human Genetics Center, The University of Texas Health Science Center at Houston
2013 Center for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston
2015 Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
2015 Division of Biostatistics, The University of Minnesota
2015 Department of Biostatistics, The University of Texas Health Science Center at Houston
2015 Houston Area Chapter of the American Statistical Association
Curriculum Vitae – Brian P. Hobbs, Ph.D.
2016
Department of Biostatistics, The University of Michigan
Conference Presentations
2009 Invited paper, Bayesian Biostatistics Conference, The University of Texas MD Anderson Cancer Center
2010 Poster, Bayesian Biostatistics Conference, The University of Texas MD Anderson Cancer Center
2010 Contributed paper, Eastern North American Regional International Biometric Society Meeting
2011 Poster, Joint International Society for Bayesian Analysis/Institute of Mathematical Statistics Meeting
2011 Poster, Bayesian Biostatistics Conference, The University of Texas MD Anderson Cancer Center
2011 Contributed paper, National Joint Statistical Meetings/American Statistical Association
2011 Invited paper, International Conference on Health Policy Statistics
2012 Contributed paper, Eastern North American Regional International Biometric Society Meeting
2012 Contributed paper, National Joint Statistical Meetings/American Statistical Association
2013 Invited paper, Eastern North American Regional International Biometric Society Meeting
2013 Invited paper, The Conference of Texas Statisticians
2013 Contributed paper, National Society for Clinical Trials Meeting
2013 Contributed paper, National Joint Statistical Meetings/American Statistical Association
2014 Invited paper, National Society for Clinical Trials Meeting
2015 Invited paper, National Joint Statistical Meetings/American Statistical Association
2015 Invited paper, International Chinese Statistical Association Applied Statistics Symposium
2015 Invited paper, Workshop on Statistical Imaging/American Statistical Association
2015 Invited paper, Integrative Biostatistics Research for Imaging, Genomics, & High-throughput Technologies in
Precision Medicine, The University of Texas MD Anderson Cancer Center
2016 Poster, Institute of Mathematical Statistics and International Society for Bayesian Analysis Sixth Joint Meeting
2016 Invited paper, Workshop on Mathematical and Statistical Challenges in Neuroimaging Data Analysis, Banff
International Research Station for Mathematical Innovation and Discovery
2016 Invited poster, Eastern North American Regional International Biometric Society Meeting
2016 Invited paper, IEEE International Symposium on Biomedical Imaging
2016 Invited paper, International Society for Bayesian Analysis World Meeting
2016 Contributed paper, National Joint Statistical Meetings/American Statistical Association
2017 Invited paper, Eastern North American Regional International Biometric Society Meeting
2017 Invited paper, IEEE International Symposium on Biomedical Imaging
2017 Invited paper, International Chinese Statistical Association Applied Statistics Symposium
2017 Invited paper, 10th International Conference on Multiple Comparison Procedures
PROFESSIONAL ACTIVITIES
Memberships
2006 – Eastern North American Region/International Biometric Society (ENAR/IBS)
2009 – American Statistical Association (ASA)
2011 – Society for Clinical Trials (SCT)
2012 – International Society for Bayesian Analysis (ISBA)
2012 – American Association for Cancer Research (AACR)
2012 – Drug Information Association, Bayesian Scientific Working Group (DIA)
Journal Reviewer
• Journal of Biopharmaceutical Statistics
• Biometrics
• Clinical Cancer Research
• Statistics in Medicine
• Clinical Trials
• Bayesian Analysis
• Biostatistics
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Curriculum Vitae – Brian P. Hobbs, Ph.D.
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Annals of Applied Statistics
Pharmaceutical Statistics
Journal of the American Statistical Association
Statistical Methods in Medical Research
Journal of Statistical Software
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