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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. 2 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. 3 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. 4 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. 5 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. 6 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 7 Curriculum Vitae – Brian P. Hobbs, Ph.D. 8 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 9 Curriculum Vitae – Brian P. Hobbs, Ph.D. • • • • • Annals of Applied Statistics Pharmaceutical Statistics Journal of the American Statistical Association Statistical Methods in Medical Research Journal of Statistical Software 10