Meet our collaborative community driving the future of equitable public health. Together, these interdisciplinary experts are pioneering data science advancements while prioritizing data equity.
Senior Associate Dean of Public Health Data Science and Data Equity; Anna M.R. Lauder Professor of Biostatistics; Professor of Epidemiology (Chronic Diseases) and of Statistics and Data Science; Affiliated Faculty, Yale Institute for Global Health
Professor Bhramar Mukherjee is the Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health (YSPH). Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at YSPH. She holds a secondary appointment in the Department of Statistics and Data Science and is affiliated with the MacMillan Center and the Institute for the Foundations of Data Science. She serves on the Yale Cancer Center Director’s cabinet. Academic Background: Prior to joining Yale University in 2024, Dr. Mukherjee built a distinguished career at the University of Michigan from 2006-2024, where she was appointed as John D. Kalbfleisch Distinguished University Professor of Biostatistics (2023-2024), Siobán D. Harlow Collegiate Professor of Public Health (2023-2024), John D. Kalbfleisch Collegiate...
Dr. Calvocoressi was the first researcher to measure family accommodation in obsessive-compulsive disorder. Family accommodation involves a set of family responses to patient symptoms that have been associated with poor treatment outcomes. The Family Accommodation Scales, developed by Dr. Calvocoressi and colleagues, have been translated into multiple languages and are used worldwide in research and clinical practice. Dr. Calvocoressi is currently overseeing a large psychometric study of the self-rated version of the scale. She and her colleagues are also developing a measure to examine relatives' motivations for engaging in accommodating behaviors. Dr. Calvocoressi also conducts research in cancer epidemiology and in psychosocial epidemiology. She has collaborated on studies examining the impact of genetic and environmental factors on the development of...
Associate Professor of Epidemiology (Environmental Health Sciences); Co-Faculty Director, Yale Center on Climate Change and Health; Affiliated Faculty, Yale Institute for Global Health
Dr. Chen received his Ph.D. in Environmental Science and Engineering in 2016 from Nanjing University in China. During 2014-2015, he served as a Visiting Scholar at the Columbia University Mailman School of Public Health. Prior to joining the Yale School of Public Health faculty in July 2019, he was an Alexander von Humboldt Postdoc Fellow at Helmholtz Zentrum München-German Center for Environmental Health.Dr. Chen’s research focuses on the intersection of climate change, air pollution, and human health. His work involves applying multidisciplinary approaches in climate and air pollution sciences, exposure assessment, and environmental epidemiology to investigate how climate change may impact human health. Much of this work has been done in China, Europe, and the U.S.
Kerry is a PhD student in the Chronic Disease Epidemiology Department at the Yale School of Public Health. She holds an MSc in Health Data Science from the London School of Hygiene & Tropical Medicine and worked as a junior statistician at the Oxford Vaccine Group before coming to Yale. She is interested in using real-world data sources to explore treatment patterns and outcomes associated with emerging cancer therapies.
Dr. Michaela Dinan is an Associate Professor of Epidemiology in the Yale School of Public Health, and Co-Leader of the Cancer Prevention and Control Research Program at the Yale Comprehensive Cancer Center, Yale School of Medicine. She is also a member of the Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center. Dr. Dinan has extensive research expertise in leveraging existing real-world data sources as well as novel data linkages to examine oncology outcomes. Dr. Dinan is a health services researcher by training and she specializes in using econometric and epidemiologic methodologies to analyze complex datasets. Specifically, Dr. Dinan's research involves issues related to advances in cancer care technologies, such as emerging treatments and diagnostics, and how these advances in technologies impact different cancer outcomes and...
Harold H. Hines, Jr. Professor of Medicine (Cardiology) and Professor in the Institute for Social and Policy Studies, of Investigative Medicine and of Public Health (Health Policy); Founder, Center for Outcomes Research and Evaluation (CORE)
Harlan Krumholz is a cardiologist and scientist at Yale University and Yale New Haven Hospital. He is the Harold H. Hines, Jr. Professor of Medicine. He is a leading expert in the science to improve the quality and efficiency of care, eliminate disparities and promote equity, improve integrity and transparency in medical research, engage patients in their care, and avoid wasteful practices. Recent efforts are focused on harnessing the digital transformation in healthcare to accelerate knowledge generation and facilitate the delivery of care aligned with each patient’s needs and preferences. Dr. Krumholz is director of the Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE), an organization dedicated to improving health and health care through research, tools, and practices that produce discovery, heighten accountability, and promote better public health and clinical care. He co...
Robert A. McDougal, Ph.D. is an Assistant Professor in the Health Informatics Division of the Department of Biostatistics. He is affiliated with the Computational Biology and Bioinformatics graduate program, the Yale Center for Medical Informatics, and the Center for Biomedical Data Science. His research focuses on developing methods for aggregating, computationally representing, analyzing, and modeling experimental data, with emphasis on understanding brain function and dysfunction.Dr. McDougal is currently a PI on an NIH grant seeking to build efficient methods for simulating the interaction of intracellular and network dynamics in the brain. Recent collaborations include a project to detect trends in the use of animal models and interventions in the Alzheimer's literature, and a project to use computational modeling to interpret magnetoencephalography (MEG) data. As member...
Dr. Ransome’s research investigates how social, economic, and cultural determinants influence racial/ethnic- and geography-related disparities in HIV care continuum indicators and alcohol use disorders. Two broad determinants of interest are a) social capital & cohesion, and b) religion, faith, and spirituality. Dr. Ransome currently has a K01 Mentored Research Scientist Development Award from the National Institute of Mental Health (NIMH) to study the direct association and underlying mechanisms between social capital and cohesion on HIV care continuum outcomes in the United States. Some methodological approaches Dr. Ransome uses in his research program include survey data analysis, multilevel modeling, structural equation modeling, spatial epidemiology, and geographic information systems.
Student Representative, Public Health Data Science and Data Equity
Yi Ren is a second-year graduate student at Yale University, pursuing an MS in Biostatistics with a concentration in Data Science. He holds a BA. in Finance from Renmin University of China. Yi has gained diverse internship experience across business and healthcare sectors. Currently, he serves as a Research Analyst at a consulting firm founded by Yale alumni. His previous roles include equity research internships at two securities firms and a healthcare consulting internship.
Dan Weinberger is an Associate Professor in Epidemiology of Microbial Diseases at Yale School of Public Health. His research uses a combination of quantitative analysis, laboratory experiments and field work to understand the epidemiology and biology of respiratory infections. Recent work has focused on developing novel analytical methods for the evaluation of vaccines using time series and spatial data. He collaborates widely with public health agencies and academic organizations around the world on these issues. He earned his PhD in biological sciences from Harvard School of Public Health, with a focus on Infectious Disease Epidemiology, and completed a postdoctoral fellowship in the Division of International Epidemiology and Population Studies in the Fogarty International Center at the NIH.Research: The research in the Weinberger Lab is at the intersection of microbiology...
Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science, Professor of Obstetrics, Gynecology, and Reproductive Sciences; Affiliated Faculty, Yale Institute for Global Health
Dr. Zhang published over 390 research articles and monographs in theory and applications of statistical methods and in several areas of biomedical research including epidemiology, genetics, child and women health, mental health, substance use, and reproductive medicine. He directed a training program in mental health research that was funded by the NIMH. He directs the Collaborative Center for Statistics in Science that coordinates the Reproductive Medicine Network to evaluate treatment effectiveness for infertility. He is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics. He was named the 2008 Myrto Lefokopoulou distinguished lecturer by Harvard School of Public Health and a Medallion Award and Lecturer by the Institute of Mathematical Statistics. In 2011, he received the Royan International Award on Reproductive Health....
Shelby Golden is a data scientist with a background in computational mathematics, molecular biology, and biochemistry. She holds a Master of Science in Applied Computational Mathematics from Johns Hopkins University and dual Bachelor of Science degrees in Molecular, Cellular, Developmental Biology and Biochemistry with a minor in Engineering in Applied Mathematics. At Data Science and Data Equity, Shelby is responsible for managing the group's GitHub repository, ensuring compliance with data use Agreements and IRBs, overseeing data harmonization and warehousing efforts, providing AI/ML consultation, offering Python support, developing APIs, and collaborating on analytic projects. Her expertise in both computational sciences and biology allows her to effectively bridge the gap between data and domain knowledge.
Sohani is a Program Manager at the Data Science and Data Equity initiative at Yale School of Public Health. Prior to the School of Public Health, she was a Program Manager at the Office of Global Affairs and Planetary Health at Yale School of Nursing. Sohani received her Master in Sustainable International Development from Brandeis University, and a Post Graduate Diploma and Bachelor’s in Bioinformatics, Biochemistry, Microbiology and Chemistry. She has experience in HIV and infectious diseases research and science content development, including conducting clinical trials, analyzing data, and collaboratively developing educational materials for middle and high school students in low-income communities. Sohani has successfully led intiatives across diverse sectors. With over a decade and half of experience in global health, infectious diseases, and education, Sohani's expertise in...