Marie-Abèle Bind is an Assistant Professor of Medicine at Harvard Medical School and Assistant Investigator at MGH Biostatistics. Her research interests focus on defining the causal questions being asked by describing real or hypothetical multi-factorial interventions, developing causal inference methods for quantifying the effects of randomized and non-randomized exposures on health outcomes and understanding the mechanisms explaining these health effects. Her current research has been funded by the NIH Early Independence Award program.
Dr. Bind completed her joint PhD in Biostatistics and Environmental Health at the Harvard School of Public Health, working with Professors Brent Coull and Joel Schwartz. She then became a Ziff postdoctoral Fellow at the Harvard University Center for the Environment. In 2016, she was awarded an Early Independence Award (NIH High-Risk High-Reward research grant) and became Research Associate in the Department of Statistics. From 2017 to 2021, she became a John Harvard Distinguished Science Fellow.
David Cheng is an Assistant Investigator at MGH and an Assistant Professor at HMS. He collaborates with multiple groups at MGH, including the Division of General Internal Medicine and the Mongan Institute. His collaborative research includes work in cancer, autoimmune diseases, cardiovascular diseases, and health policy. His methodological research is in causal inference and data integration. He is particularly interested in developing methods and applications to facilitate comparative effectiveness research and precision medicine using electronic health records data.
Dr. Cheng received a PhD in Biostatistics from Harvard University and a BA in Economics and Statistics from the University of Chicago.
Dianne Finkelstein is a Professor of Medicine at Harvard Medical School, Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, and a biostatistician at Massachusetts General Hospital.
After ten years of leadership, she recently stepped down as Director of MGH Biostatistics. Her research interests focus on cancer clinical research and statistical methods for survival analysis and longitudinal outcomes in clinical trials and epidemiology studies.
Dr. Finkelstein earned a Ph.D. in Biostatistics from the University of Michigan.
Andrea S. Foulkes is Director of Biostatistics at Massachusetts General Hospital, Professor of Medicine, Harvard Medical School and Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health. Under her leadership, MGH Biostatistics faculty and staff serve as lead statisticians on over 170 NIH sponsored research projects across 28 MGH divisions and departments and contribute to $489 million in research funding.
Dr. Foulkes has a 20-year active research program in statistical methods for precision medicine using high-dimensional molecular and cellular level data to inform clinical risk factors for complex disease phenotypes at the intersection of infectious disease and cardiovascular disease. Her statistical methods research is motivated and grounded in HIV/AIDS, cardiometabolic disease, inflammation and SARS-CoV-2/COVID-19 research. As PI on multiple NIH-funded awards, she is leading efforts to develop and evaluate principled statistical methods for interrogating the mechanistic underpinnings of complex diseases.
Dr. Foulkes earned a ScD in Biostatistics from Harvard University and a BA in Mathematics from Brown University.
Musie Ghebremichael is an Associate Professor at Harvard Medical School, an Associate Investigator at MGH Biostatistics and Director of Biostatistics and Database Cores at the Ragon Institute of MGH, MIT and Harvard. His primary research interest focuses on the application and development of statistical methods for HIV/AIDS, TB, and immunologic research.
Dr. Ghebremichael earned his Ph.D. in Statistics from Rice University and did a post-doctoral fellowship at Yale University.
Zoe Guan is an Assistant Investigator at MGH Biostatistics. Her methodological research focuses on risk prediction and the analysis of next-generation sequencing data. Her collaborative research areas include cancer and COVID. She is involved in the DF/HCC Lung Cancer SPORE, as well as the NIH RECOVER project on long COVID. Before joining MGH Biostatistics, she was a postdoctoral fellow at Memorial Sloan Kettering Cancer Center.
Dr. Guan received a PhD in Biostatistics from Harvard University and a BSc in Mathematics and Computer Science from McGill University.
Brian Healy is an Associate Professor of Neurology at Harvard Medical School (HMS) and an Associate Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. He is the primary biostatistician for the Partners MS Center at Brigham and Women’s Hospital, and he is a member of Massachusetts General Hospital (MGH) Biostatistics. Dr. Healy has been the instructor for many courses related to biostatistics at HMS and Harvard T.H. Chan School of Public Health. Dr. Healy’s research focuses on modeling the disease course in patients with multiple sclerosis.
He obtained his PhD in Biostatistics from the Harvard T.H. Chan School of Public Health in 2007.
Susanne S. Hoeppner is an Assistant Professor of Psychiatry at Harvard Medical School (HMS) and is a member of Massachusetts General Hospital (MGH) Biostatistics. She provides statistical guidance and expertise for various groups at MGH including the Center for OCD and Related Disorders (CORD), the Medical Practice Evaluation Center (MPEC), and the Recovery Research Institute (RRI). Her collaborative research effort has included applications in psychology, psychiatry, smoking cessation, and HIV/AIDS. She has served as the principal statistician on pivotal trials approved by the FDA and has designed and analyzed Phase I-III studies in addiction, psychiatry, and psychology. She also has ample experience setting up, updating, and overseeing the use of electronic data capture forms as implemented via REDCap, having designed and managed such databases for several single- and multi-site clinical trials at MGH. Dr. Hoeppner’s clinical interests are in dynamic health behavior modeling and positive psychology.
Dr. Hoeppner earned a PhD in Oceanography and Coastal Sciences and her Master of Applied Statistics from Louisiana State University. She also holds a MS in Biological Science from Southeastern Louisiana 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.
Joseph J. Locascio, Ph.D. has had a research appointment as a Senior Biostatistician for the Alzheimer’s Disease Research Center and Memory/Movement Disorders Units, Department of Neurology at Massachusetts General Hospital (MGH), Boston, since 1992. He is an Assistant Professor of Neurology at Harvard Medical School as well as a Collaborating Statistician in the Neurology Dept. at Brigham and Women’s Hospital. He is a Consulting Statistician for the Harvard Catalyst Bio-Statistical Consulting Group of Harvard Medical School, and a member of the Statistical Advisory Boards for the journals PLOS One (Public Library of Science) and Lancet-Neurology.
Previously, Dr. Locascio had a dual appointment as research statistician in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT) from 1992 to 2009 where he also taught formal data analysis courses for four years. He has also taught statistics at Northwestern University (1982) and worked as a statistician in psychiatric research at the University of Chicago (1983-1985) and Bellevue Hospital/New York University Medical Center (1989-1991), and was Research Coordinator for the Mental Health Division of the Chicago Dept. of Health (1976-1979). He has over 100 publications in medical and scientific journals, magazines, and books.
