Tanayott Thaweethai (he/him) is Associate Director, Biostatistics Research and Engagement for MGH Biostatistics and an Instructor in Medicine at Harvard Medical School. He develops methods for handling missing data when conducting large observational studies using electronic health records. His research collaboration areas at Mass General include diabetes in pregnancy, clinical effectiveness of type 2 diabetes treatment, and several studies related to COVID-19. He is also lead biostatistician at the Data Resource Core for RECOVER, an NIH research initiative that seeks to understand post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID.
Dr. Thaweethai received his B.S. in Applied Mathematics – Biology from Brown University and Ph.D. in Biostatistics from Harvard University.
Hang Lee joined MGH Biostatistics Center in 2001. He is Associate Director of Collaborative Research & Consulting at the Center and Associate Professor of Medicine at Harvard medical School. He also serves as Associate Director of the Harvard Catalyst (Center for Translational and Clinical Science) Biostatistics Program housed at MGH Biostatistics Center, and lead statistician for the MGH Division of Clinical Research (DCR) Biostatistics Unit. Dr. Lee has extensive collaborative research experience with clinical departments and research programs involving cooperative group coordinating center lead statistician role for national multi-center clinical trials and collaboration with study teams and individual investigators on designing clinical studies, and he co-authored a wide range of collaborative research articles.
Dr. Lee earned his PhD in Biometry from University of Southern California. Dr. Lee’s methodological interests are in the robust inference on clustered- and longitudinal outcomes. Before joining the Center, he was Research Fellow in Biostatistics at Harvard School of Public Health; Instructor at Harvard Department of Psychiatry and Harvard Institute of Psychiatric Epidemiology and Psychiatric Genetics at Massachusetts Mental Health Center; and Director of Biostatistics at UCLA Center for Vaccine Research and Assistant Professor at UCLA School of Medicine.
Dustin J. Rabideau is Associate Director, Biostatistics and Strategic Initiatives for MGH Biostatistics and an Assistant Professor of Medicine at Harvard Medical School. Dr. Rabideau’s biostatistical research focuses on robust analysis methods for cluster randomized trials and innovative methods to account for participant dropout in clinical trials. Dr. Rabideau also has extensive collaborative research experience providing statistical leadership and expertise for various investigators across MGH. His current research partnerships include the Dauten Family Center for Bipolar Treatment Innovation and the Cancer Outcomes Research and Education Program.
Dr. Rabideau earned a PhD in Biostatistics from the Harvard T.H. Chan School of Public Health. He also holds a MS and MA in Biostatistics from Harvard and a BA in Mathematics and French from SUNY Geneseo.
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