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Bhramar Mukherjee, PhD

she/her/hers
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
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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

Affiliated Faculty, Yale Institute for Global Health

Biography

Professor Bhramar Mukherjee is the Anna M.R. Lauder Professor of Biostatistics, Professor of Chronic Disease Epidemiology and Professor of Statistics and Data Science at Yale University . Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at the Yale School of Public Health.

Academic Background:

Prior to joining Yale University in 2024, Dr. Mukherjee built a distinguished career at the University of Michigan where she was appointed as John D. Kalbfleisch Distinguished University Professor of Biostatistics and the first woman Chair of the Department of Biostatistics (2018-2024). She is known for her contribution to statistical methods for integration of genetic, environmental, and disease data from large healthcare databases and for her work on COVID-19 in India. She is winner of many awards, including the 2023 Karl Peace award from the American Statistical Association for betterment of society through statistics, and the 2024 Marvin Zelen Leadership in Statistical science award from Harvard Biostatistics. She is a fellow of the ASA, IMS, AAAS, and an elected member of the US National Academy of Medicine. She has written more than 450 articles and supervised 25 PhD students and 7 post-doctoral fellows. She is the founding director of several flagship undergraduate summer programs on big data and human health. She is the 2026 President of ENAR, an eminent professional society for biostatisticians in North America.

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 415 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, The Institute of Mathematical Statistics 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.

Last Updated on October 16, 2026.

Appointments

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.

Public Health Interests

Cancer; Chronic Diseases; Environmental Health; Epidemiology Methods; Genetics, Genomics, Epigenetics; Global Health; Infectious Diseases; Modeling; Bayesian Statistics; Health Equity, Disparities, Social Determinants and Justice; COVID-19

Publications

Featured Publications

Academic Achievements & Community Involvement

Activities

  • activity

    Using Electronic Health Records and Phenome-wide Association Studies for COVID-19 Research.

  • activity

    The nature of data science and its three key elements: statistics; computer science; and domain knowledge.

  • activity

    Using Observational Big Data for Health Care Research: Tale Told by a Statistician.

  • activity

    Using Electronic Health Records for Scientific Research: Promises and Perils.

Honors

  • honor

    David A. Sprott Lectureship, Department of Statistics

  • honor

    Anna MR Lauder Professorship, Department of Biostatistics

  • honor

    Marvin Zelen Award for Leadership in Statistical Science

  • honor

    Distinguished Alumna in College of Science Award

  • honor

    Siobán D. Harlow Collegiate Professor of Public Health

Get In Touch

Contacts

Academic Office Number

Locations

  • 60 College Street Room 208

    Academic Office

    Yale School of Public Health (LEPH)

    60 College Street, Rm 208

    New Haven, CT 06510

    Business Office

    203.737.8644