HPSS EXECUTIVE COMMITTEE
JASON BRINKLEY
CHAIR
Dr. Brinkley is an Associate Professor in the Institute of Health System Science at Northwell Health. He has expertise in a wide range of analytic methods, and he specializes in machine learning, customized data visualizations, maps, and dash-boarding. He balances research time between examining theoretical ways to assess the impact of medical interventions on public health and developing best practices for using statistical software. Before joining Northwell, he was a principal data scientist and health researcher leading the Research Design and Analytics Team in the Digital and Data Services Division at Abt Associates. Prior to that, he was a senior researcher at the American Institute of Research and an assistant professor of biostatistics at East Carolina University, where he remains a research affiliate with the school’s North Carolina Agromedicine Institute. He has a passion for rural health, methods for exploring disparities, and in evaluating bias in machine learning and other algorithms.
MOUSUMI BANERJEE
PAST CHAIR
Dr. Banerjee is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health (UM-SPH), Director of Biostatistics at the Pediatric Cardiac Critical Care Consortium, and Director of Global StatCore, an initiative intended to enhance biostatistical support of global public health research, education, and training at UM-SPH and in collaboration with international partners. Her research has focused on predictive modeling, machine learning, causal inference, correlated data, survival analyses, and competing risks with primary applications to health services and outcomes research. She also studies health disparities and fundamental issues related to optimal quality and equitable care delivery in the population. Dr. Banerjee is an elected Fellow of the American Statistical Association (ASA) and an elected member of the International Statistical Institute (ISI). She received her BStat and MStat degrees at the Indian Statistical Institute and her PhD in statistics at the University of Wisconsin - Madison.
THERESA KIM
CHAIR-ELECT
Dr. Kim is a pragmatic clinical trials program officer in the Health Systems Branch within the Division of Behavioral and Social Research at the National Institute on Aging. Her portfolio oversees approximately 100 grants that apply real-world data linkage, AI methods, and healthcare workforce interventions. Before her time at NIH, she was a program officer at PCORI in Comparative Effectiveness and Decision Science and mainly supported the Methods portfolio. Her previous service in ASA include a founding officer of the Statistics and Data Science in Aging Interest Group, program committee officer in the Caucus for Women in Statistics and Data Science, board member of the Washington Statistical Society, and organizing committee member of ICHPS. She is looking forward to serving as the 2027 Chair of HPSS and enjoys when members' cats, dogs, children, and other living organisms Zoom bomb meetings.
SOUMIK PURKAYASTHA
SECRETARY
Dr. Purkayastha is an Assistant Professor in the Department of Biostatistics and Health Data Science at the University of Pittsburgh and a Research Biostatistician at the VA Pittsburgh Healthcare System’s Center for Healthcare Evaluation, Research, and Promotion (CHERP). My research aims to address complex challenges in biomedical studies and health policy. Currently, I apply data science to investigate health equity, social determinants of health, and medication initiation patterns among veterans. I also maintain a strong focus on statistical computing, developing information-theoretic frameworks for causal discovery and software for infectious disease forecasting.
ZHENKE WU
TREASURER
Dr. Wu is currently an Associate Professor of Biostatistics at University of Michigan -- Ann Arbor, and a faculty affiliate in the Michigan Institute for Data Science (MIDAS). Dr. Wu serves as an Associate Editor for Annals of Applied Statistics, Biostatistics, Journal of the Royal Statistical Society: Series A (JRSS-A), and as a statistical consultant and reviewer for New England Journal of Medicine - Artificial Intelligence (NEJM-AI). Please see Dr. Wu's website for further information: https://zhenkewu.com.
LANE BURGETTE
COUNCIL OF SECTIONS REPRESENTATIVE
Dr. Burgette is a senior statistician at the RAND Corporation. He is also a professor of policy analysis at the RAND School of Public Policy. His research focus is causal inference and Bayesian modeling in the health and social sciences. His methodological interests span causal inference including propensity score and entropy balancing methods, methods for missing data, and nonparametric modeling. His applied research interests include physician payment policy; cost, quality, and value of health care; and treatment for alcohol and other drug abuse. He was trained at Whitman College, the University of Wisconsin-Madison, and Duke University and has taught at Duke and Johns Hopkins. He received his PhD in statistics from the University of Wisconsin.
ZHEYU WANG
PROGRAM CHAIR
Dr. Wang is an Associate Professor in the Division of Quantitative Sciences at the Sidney Kimmel Comprehensive Cancer Center, with joint appointments in the Departments of Biostatistics and Applied Mathematics & Statistics at Johns Hopkins University. She is also the biostatistics core lead in the Armstrong Center for Diagnostic Excellence. Her research focuses on methodological development and practical applications to improve diagnostic procedures in healthcare, such as enhancing diagnostic accuracy, enabling early detection and intervention, and identifying subgroups for personalized medicine.
ELIZABETH CHASE
PROGRAM CHAIR-ELECT
Dr. Chase is an associate statistician at RAND Corporation, where she uses statistical methods to inform policy research and analysis. Her methodological interests include survival and longitudinal data analysis, Bayesian methods, and missing data. In recent projects, she has advised on physical fitness standards in the US Army, the use of criminal background check information in hiring decisions, policy approaches to reduce US healthcare spending, and racial/ethnic disparities in occupational injury outcomes. She received her PhD in biostatistics at the University of Michigan.
JASON ROY
FUNDRAISING COMMITTEE CHAIR
Dr. Roy is Chair and Professor of Biostatistics in the Department of Biostatistics and Epidemiology at Rutgers School of Public Health. He is the Rutgers co-lead of the Biostatistics, Epidemiology, Research Design (BERD) Core for the New Jersey Alliance for Clinical and Translational Science. His research interests include developing flexible Bayesian methods for causal inference problems, especially applied to real world data. His primary collaborations are in pharmacoepidemiology and long COVID research.
MINGYANG SHAN
FUNDRAISING COMMITTEE
Dr. Shan is a Director of Statistics and leads the Real-World Analytic Capabilities team at Eli Lilly, where he applies a spectrum of advanced analytic methods to deliver real-world evidence (RWE) and enable innovative evidence generation. His current focus is on developing methodology and best analytical practices to leverage evidence from real-world data (RWD) in drug development. His research includes external control design and analysis methods, data integration, Bayesian analysis, data linkage, and target trial emulation. He has supported trials across immunology, neuroscience, and cardiometabolic health. Prior to joining Eli Lilly, he received his PhD in biostatistics from Brown University.
REBECCA HUBBARD
ICHPS CO-CHAIR
Dr. Hubbard is a Professor of Biostatistics and Data Science at the Brown University School of Public Health. Her methodological research focuses on the development and application of statistical methods for observational data, with particular emphasis on addressing bias in analyses of electronic health records and medical claims data. Her collaborative work spans cancer epidemiology, aging, and health services research. She is Chair of the Committee of Presidents of Statistical Societies (COPSS), a Fellow of the American Statistical Association (ASA), and Co-Editor-in-Chief of Biostatistics. She received her PhD in biostatistics from the University of Washington and was previously faculty at the University of Pennsylvania and Kaiser Permanente Washington Health Research Institute.
ANDREW SPIEKER
ICHPS CO-CHAIR
Dr. Spieker is an Associate Professor and incoming Director of Graduate Studies in the Department of Biostatistics at Vanderbilt University Medical Center. His methodological work focuses on causal methods for various applications including studies of mobile health interventions. His collaborations are largely in pediatrics, internal medicine, and health policy. He is the Book Review Editor for Biometrics and the Co-Editor-in-Chief of Observational Studies.
ROBERT TUMASIAN III
PUBLICATIONS OFFICER
Dr. Tumasian is a mathematical statistician (statistical reviewer) in the Center for Drug Evaluation and Research (CDER) at the US Food and Drug Administration (FDA). His primary areas of interest include pharmacovigilance, pharmacoepidemiology, clinical trial design and analysis, personalized/precision medicine, constructing clinically meaningful and statistically sound estimands, mitigating the overdose crisis, and regulatory policy. Dr. Tumasian received his BS in applied mathematics from SUNY Geneseo and his PhD in biostatistics from Columbia University. He has been an active member of the American Statistical Association (ASA) since 2021.