People

Biyue Dai, PhD

Assistant Professor, Division of Biostatistics, School of Public Health, University of Minnesota

Joseph S. Koopmeiners, PhD

Mayo Professor and Head, Division of Biostatistics, School of Public Health, University of Minnesota

Dr. Koopmeiners is an expert in Bayesian adaptive methods for clinical trials. His current research focuses on developing Bayesian methods for dynamic borrowing using supplemental trial and real world data sources, and statistical methods to identify and leverage heterogeneity in randomized trials. Previously, Dr. Koopmeiners developed novel Bayesian approaches to dose finding in early phase clinical trials. Dr. Koopmeiners is the PI of an R01 to develop novel statistical methods for tobacco regulatory science (R01-DA046320), and he has a broad collaborative portfolio, including serving as the Director of the Biostatistics and Data Management Core for the Center for the Evaluation of Nicotine in Cigarettes (CENIC; U54-DA031659)

Tom Murray, PhD

Assistant Professor, Division of Biostatistics, School of Public Health, University of Minnesota

Dr. Murray is an expert in Bayesian analysis, and sequential and adaptive methods for clinical trials. His methodological research interests include decision-making in clinical trials with multiple outcomes, incorporating external data into clinical trial analyses and interim data monitoring, and adaptive design in general. His collaborative research spans cardiology, oncology, neurology, behavioral science and respiratory infectious disease. Dr. Murray has helped design and manage data coordination for multiple clinical trials evaluating therapeutics for Covid-19 including, ALPS-Covid, Covid-Out and TICO/ACTIV-3. 

Lianne Siegel, PhD

Assistant Professor, Division of Biostatistics, School of Public Health, University of Minnesota

Dr. Siegel’s current research focuses on statistical methods for meta-analysis of both observational data and clinical trials. She is particularly interested in developing methods for conducting pragmatic clinical trials that do not require sharing data across sites and/or health systems. Dr. Siegel has served as a statistician on several COVID-19 clinical trials including the Therapeutics for Inpatients with COVID-19 (TICO/ACTIV-3) master protocol and the COVID-OUT study of metformin, fluvoxamine, and ivermectin for the early outpatient treatment of COVID-19. She is currently working on the Outpatient Treatment of COVID-19 with Anti-Coronavirus Immunoglobulin (OTAC) study and the Strategies and Treatments for Respiratory Infections and Viral Emergencies (STRIVE) master protocol.  

Steffen Vent, PhD

Assistant Professor, Division of Biostatistics, School of Public Health, University of Minnesota

David Vock, PhD

Associate Professor, Division of Biostatistics, School of Public Health, University of Minnesota

Dr. Vock is an expert in the analysis of clinical trials and epidemiologic studies with a particular focus on trials and studies using innovative and pragmatic trial designs.  Dr. Vock currently serves as the lead statistician and co-Investigator for four studies which use a sequential multiple assignment randomized trial (SMART) to study adaptive interventions including trials to test adaptive treatment strategies in pediatric obesity, smoking cessation, and adolescent depression. He is currently a co-chair of the scientific steering committee for the Strategies and Treatments for Respiratory Infections & Viral Emergencies (STRIVE) master protocol. He has helped design and manage data coordination and statistical analyses for several trials of COVID-19 therapies including the Therapeutics for Inpatients with COVID-19 (TICO) master protocol and the Inpatient Treatment of COVID-19 With Anti-Coronavirus Immunoglobulin (ITAC) study. Methodologically, Dr. Vock is an expert in the development of methods to assess the causal effect of (time-varying) interventions and learn optimal dynamic treatment regimes. He is currently co-PI of a methods grant to develop novel statistical methods for tobacco regulatory science and recently completed two grants from the National Cancer Institute to develop risk prediction and treatment selection methods with application to head and neck cancer.   

Jinghan Liu received her MS in biostatistics from Columbia University in 2023.

Carlos Serrano received his MS in biostatistics from the University of Minnesota in 2022. He currently provides statistical support for STOP-Sepsis, SCALED, and the SES Trial.

Sydney Benson is a PhD student in the Divison of Biostatistics. She is completing her dissertation with Anne Eaton and Tom Murray focusing on novel approaches to early phase clinical trials.

Lily Haine is a PhD  student in the Divison of Biostatistics. She is completing her dissertation with Joe Koopmeiners and Tom Murray focusing on novel approaches for dynamically combining RCTs and real world data. 

Tanvi Mehta is a PhD student in the Division of Biostatistics. She is currently an RA for RapidEVAL. 

Jack Wolf is a PhD student in the Divison of Biostatistics. He is completing his dissertation with Joe Koopmeiners and David Vock focusing on methods for dynamic borrowing and treatment effect heterogeneity in tobacco regulatory science.