Bhramar Mukherjee

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Bhramar Mukherjee

Visiting Professor of Biology, Ashoka University

Ph.D. Purdue University
https://ysph.yale.edu/profile/bhramar-mukherjee/ bharamar.mukherjee@ashoka.edu.in

Professor Bhramar Mukherjee is currently appointed as Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health. Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at the school. She holds a secondary appointment in the Department of Statistics and Data Science at Yale. 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. She is winner of many awards, including the 2023 Karl Peace award from the ASA for betterment of society through statistics, the 2024 Marvin Zelen Leadership in Statistical science award from Harvard Biostatistics. She is a fellow of the ASA, AAAS and an elected member of the US National Academy of Medicine. She has written more than 400 articles and supervised 22 PhD and 4 post-doctoral scholars. She is the founding director of a flagship undergraduate summer program on big data. She is the President elect for ENAR starting January 1, 2025, an eminent professional society for biostatisticians.

  • Aung MT, Song Y, Ferguson KK, Cantonwine DE, Zeng L, McElrath TF, Pennathur S, Meeker JD, Mukherjee B. Application of an analytical framework for multivariate mediation analysis of environmental data. Nature Communications, 2020, 11(1):5624. doi: 10.1038/s41467-020-19335-2. PMCID: PMC7648785.
  • Summary Contribution: This paper set standard analytic practice for conducting mediation analysis with multiple toxicants. 51 citations.
  • Chen C, Haupert SR, Zimmermann L, Shi X, Fritsche LG, Mukherjee B. Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. J Infect Dis. 2022 Nov 1;226(9):1593-1607. doi: 10.1093/infdis/jiac136. PMID: 35429399; PMCID: PMC9047189.
  • Summary Contribution: This paper was the first global meta-analyiss of long-COVID prevalences among COVID positive patients. It has more than 1100 citations in two years.
  • Gu T, Taylor JMG, Mukherjee B. A synthetic data integration framework to leverage external summary-level information from heterogeneous populations. Biometrics. 2023 Dec;79(4):3831-3845. doi: 10.1111/biom.13852. Epub 2023 Apr 4. PMID: 36876883; PMCID: PMC10480346.
  • Summary contribution: This paper is a methodological contribution in Mukherjee’s primary area of expertise in data integration and ties the missing data literature with the data integration literature in an elegant way.
  • Meah S, Shi X, Fritsche LG, Salvatore M, Wagner A, Martin ET, Mukherjee B. Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study. Sci Adv. 2023 Dec 22;9(51):eadj3747. doi: 10.1126/sciadv.adj3747. Epub 2023 Dec 20. PMID: 38117882; PMCID: PMC10732535.
  • Summary contribution: This paper was result of a summer internship project by a MS student and is an important contribution to show the chaotic uncertainty in choice of methods and design to analyze vaccine effectiveness from observational data.
  • Salvatore M, Kundu R, Shi X, Friese CR, Lee S, Fritsche LG, Mondul AM, Hanauer D, Pearce CL, Mukherjee B. To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice. J Am Med Inform Assoc. 2024 Jun 20;31(7):1479-1492. doi: 10.1093/jamia/ocae098. PMID: 38742457; PMCID: PMC11187425.
  • Summary Contribution: This is a signature paper underscoring the importance of accounting for sampling heterogeneity in big datasets that are amassed without a proper probability sampling design.
  • Sciences, Engineering, and Medicine (the National Academies) in the United States. The NAM has more than 2,400 members elected by their peers in recognition of outstanding achievement. For a statistician to be recognized as an elected member of NAM is a rare feat. Each year at most one or two statisticians get elected and Dr. Mukherjee got elected before the age of 50.
  • Karl E. Peace Award for betterment of Society, American Statistical Association, 2023
  • This award was started in 2012 by the American Statistical Association. The award is bestowed upon distinguished individual(s) who have made substantial contributions to the statistical profession, contributions that have led in direct ways to improving the human condition. Recipients will have demonstrated through their accomplishments their commitment to service for the greater good.
  • Sacks Award for outstanding interdisciplinary contribution in statistics, National Institute of Statistical Sciences, 2023
  • This award, launched in 2000, recognizes sustained, high-quality cross-disciplinary research involving the statistical sciences. Mukherjee was awarded for excellence in cross-disciplinary research, for leadership in developing methodology for genetic epidemiology, and contributions to our profession, for being an outstanding mentor, who has significantly advanced biostatistics, and public health with a worldwide impact on policy.”
  • John D Kalbfleisch Distinguished University Professorship, University of Michigan, 2023
  • The Distinguished university professorships are the highest honors at the University of Michigan. Each year approximately 5 faculty members across the institution are selected for this honor. In the nearly 80 years of history of Michigan Public Health, only 6 faculty members have been awarded this professorship. Mukherjee was recognized for her outstanding scholarship, leadership and impact as a faculty member.
  • Marvin Zelen Leadership Award in Statistical Science, Harvard University, 2024.
  • The award recognizes an individual in government, industry, or academia, who by virtue of their outstanding leadership, has greatly impacted the theory and practice of statistical science. While individual accomplishments are considered, the most distinguishing criterion is the awardee’s contribution to the creation of an environment in which statistical science and its applications have flourished. Mukherjee was recognized for her initiatives as department chair, director of a summer program for undergraduates in Biostatistics, mentoring of early career researchers and stewardship of preeminent statistical societies.
  • Genetic associations and interactions (Special topics Ph.D. level course for doctoral students in Biostatistics, Statistics and Bioinformatics). University of Michigan, Dept. of Biostatistics
  • Modern Statistical Methods for Epidemiological Studies (An advanced methods course for doctoral students in Epidemiology and MS students in Biostatistics.)
  • University of Michigan, Dept. of Biostatistics and Epidemiology
  • Biostatistical Investigations, Project based capstone course for MS Biostatistics.
  • University of Michigan, Dept. of Biostatistics Seminal controversies in Statistics, PhD Elective, University of Michigan, Dept. of Biostatistics
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