Léonard Boussioux, a final year Ph.D. student at MIT under Prof. Dimitris Bertsimas, is an incoming Assistant Professor at the University of Washington in Information Systems and Operations Management. His research addresses healthcare and environmental issues using operations research, machine learning, and artificial intelligence. He develops multimodal and prescriptive tools for integrating sustainability in business and policy. Collaborating with Google X, MIT Jameel Clinic, Harvard Medical School, OCP Group, and…
Francesca Dominici
Clarence James Gamble Professor of Biostatistics, Population and Data Science and Co-Director of the Data Science Initiative
Francine Laden
Dr. Francine Laden is Professor of Environmental Epidemiology at the Harvard T.H. Chan School of Public Health, and an Associate Professor of Medicine at the Harvard Medical School and the Brigham & Women’s Hospital. Dr. Laden received her ScD in Epidemiology and MS in Environmental Health from the Harvard School of Public Health. Her research interests focus on the environmental epidemiology of chronic diseases, including cancer, respiratory and cardiovascular disease.…
Amruta Nori-Sarma
Yale University, PhD Field of Study: Environmental Health Columbia University School of Public Health, MPH Field of Study: Environmental Health Princeton University, BSE Field of Study: Civil Engineering Amruta Nori-Sarma as an Assistant Professor in the Environmental Health Department at Boston University School of Public Health, where she studies the relationship between environmental exposures associated with climate change and health outcomes in vulnerable communities. Her previous work has examined the…
Soko Setoguchi
Soko Setoguchi, MD, DrPH is a cardiologist by training, board-certified internist, and epidemiologist, is Professor of Medicine, Director of Clinical Research Education, Director of Clinician Researcher Track, Medicine Residency Program, Department of Medicine, Rutgers Robert Wood Johnson Medical School (RWJMS) and Professor of Epidemiology at Rutgers School of Public Health. She is also Co-Director of the Master of Science in Clinical and Translational Science (MS-CTS) at Rutgers School of Graduate…
Cory Zigler
I am an associate professor in the Department of Statistics and Data Sciences (College of Natural Sciences) and in the Department of Women’s Health (Dell Medical School). My research focuses on development of Bayesian methods for causal inference in complex observational studies. Specific areas of statistical methods development include methods for causal inference with interference, intermediate variables (mediation analysis, principal stratification), confounding in high dimensions, model uncertainty/model averaging, treatment effect heterogeneity,…
Ashkan Ertefaie
My methodological research interest lies in causal inference, dynamic treatment regimes, sequential multiple assignment randomized trials, comparative effectiveness studies using electronic health records, instrumental variable analyses, high-dimensional data analysis, post selection inference, and survival analysis. Particularly, I am interested in methodologies that lead to constructing the optimal sequence of treatments in chronic diseases where patients are monitored and treated throughout their life. Thus far, I have been primarily motivated by…
Antonella Zanobetti
Ph.D.,1999, Department of Statistics, University of Florence, Italy The area of my research interest focuses on the health consequences of exposure to air pollutants and climate change, and environmental health disparities. My research interests are shaped by my background and training in both epidemiology and statistics, by developing and applying statistical methods for epidemiological investigations. My work has contributed substantially to our understanding of air pollution and climate change-mediated health…
Boyu Ren
Danielle Braun
Danielle Braun is a Principal Scientist in the Biostatistics Department at the Harvard T.H. Chan School of Public Health and at the Department of Data Science at Dana-Farber Cancer Institute. Her areas of research include risk prediction, genetic epidemiology, measurement error, survival analysis, frailty models, clinical tool development, causal inference, and comparative effectiveness research. As a senior research scientist Danielle co-leads the BayesMendel lab with Dr. Parmigiani and works with Dr. Dominici.