About
Titles
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
Biography
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 Professor of Biostatistics (2015-2023) and Chair of the Department of Biostatistics (2018-2024). She had several other significant leadership appointments at Michigan including an institutional appointment as the inaugural Assistant Vice President for Research for Research Data Services Strategy (2023-2024); Associate Director for Quantitative Data Sciences(2019-2024), Associate Director for Cancer Control and population Sciences (2015-2018) at the University of Michigan Rogel Cancer Center. She also held professorial appointments in Epidemiology and Global Public Health. Professor Mukherjee was actively engaged with the U-M Precision Health initiative, as well as the Michigan Institute of Data Science (MIDAS). She served as the founding director of a flagship undergraduate summer program in big data from 2015-2024. She has supervised twenty doctoral students and three post-doctoral fellows
Research Interests:
Dr. Mukherjees’s research interests span statistical methods for analyzing electronic health records, gene-environment interaction studies, data integration, data equity, shrinkage estimation, and the analysis of environmental mixtures. Collaboratively, she contributes to areas such as cancer, cardiovascular diseases, reproductive health, exposure science, and environmental epidemiology.
Achievements:
With over 390 publications in statistics, biostatistics, medicine, and public health, Professor Mukherjee is globally recognized for her research contributions in integrating genetic, environmental and health outcome data. She has served as the Principal Investigator on methodology grants funded by the National Science Foundation (NSF)and the National Institutes of Health (NIH). Dr. Mukherjee is a fellow of the American Statistical Association and the American Association for the Advancement of Science. Dr. Mukherjee has received numerous awards for her outstanding scholarship, service, and teaching at the University of Michigan and beyond. These include the Gertrude Cox award, the Adrienne Cupples Award, the Janet Norwood award, the Sarah Goddard Power award, the Karl E Peace Award, the Jerry Sacks Award, and the Marvin Zelen Statistical Leadership Award. In 2022 she was elected to the US National Academy of Medicine.
Appointments
Biostatistics
ProfessorFully JointChronic Disease Epidemiology
ProfessorFully JointStatistics
ProfessorSecondary
Other Departments & Organizations
- Biostatistics
- Chronic Disease Epidemiology
- Mukherjee Lab
- Public Health Data Science and Data Equity
- Public Health Modeling
- Statistics
- Yale School of Public Health
Education & Training
- PhD
- Purdue University, West Lafayette, Indiana., Statistics (2001)
- MS
- Purdue University, Mathematical Statistics (1999)
- MS
- Indian Statistical Institute, Applied Statistics and Data Analysis (1996)
- BSc
- Presidency College, Statistics (1994)
Research
Overview
The central theme in Dr. Mukherjee's research program has been to develop novel inferential methods for epidemiological data using Bayesian, frequentist and hybrid methods. Dr. Mukherjee’s interest over the years has shifted to integration of diverse data sources and scalable biobank data analysis. This includes integration of genetic, environmental and phenomic data. She is interested in principled analysis of electronic health records and other administrative healthcare data sources that were not designed for population-based research. One of her research themes is understanding selection bias across these diverse, heterogeneous data sources.