Mukherjee was born and raised in Kolkata,India. She received her B.Sc. in statistics from Presidency College in Kolkata in 1994 and her M. Stat from Indian Statistical Institute in 1996. In the late 1990s,she moved to the United States,where she received her M.S. in mathematical statistics in 1999 and then her Ph.D. in statistics in 2001,both from Purdue University.[1]
Career
After completing her Ph.D.,Mukherjee joined University of Florida as an assistant professor of Statistics and taught there until 2006,when she left to join the University of Michigan as the John G. Searle Assistant Professorship. She became associate professor in 2009,full professor in 2013 and was awarded the John D. Kalbfleisch Collegiate Professorship at the University of Michigan in 2015. She was appointed the associate chair of Department of Biostatistics at University of Michigan in 2014 and became the first woman chair of the department in 2018.[2]
In 2016,Mukherjee was appointed the associate director of cancer control and population studies at University of Michigan Rogel Cancer Center.[3] She became the newly appointed associate director for Quantitative Data Sciences in 2019.[4]
In 2024,Mukherjee left University of Michigan to join Yale University,where she was appointed the Anna MR Lauder Professor of Biostatistics and the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at the Yale School of Public Health.[5]
Mukherjee was announced as president-elect for Eastern North American Region (ENAR) of the International Biometric Society (IBS) in 2025.[6]
Research and work
Mukherjee's research has primarily focused on the development and application of statistical methods in epidemiology,analysis of observational data and disease risk assessment.[2]
One of the focal points of Mukherjee's research is to understand how the interaction between genes and environment increases or decreases cancer risk. In this area,she has studied how lifestyle factors such as diet and physical activity coupled with the genetic makeup of an individual impact their cancer risk.[7] In 2018,Mukherjee and her colleagues conducted a phenome-wide association study to see if the polygenic risk scores for different cancers are associated with multiple phenotypes. Their study showed that polygenic risk scores can help in stratifying the risk of different cancers in patients.[8]
During the COVID-19 pandemic,Mukherjee and her study team worked on modeling the transmission of the SARS-CoV-2 virus in India.[9]
Awards and honors
2011 –Elected member,The International Statistical Institute[10]
Sinha, S.; Mukherjee, B.; Ghosh, M.; Mallick, B. K.; Raymond, J. C. (2005). "Bayesian semi-parametric analysis of matched case-control studies with missing exposure". Journal of the American Statistical Association. 100: 591–601. doi:10.1198/016214504000001411.
Mukherjee, B.; Chatterjee, N. (2008). "Exploiting gene-environment independence for analysis of case-control studies: An empirical-Bayes type shrinkage estimator to trade off between bias and efficiency". Biometrics. 64 (3): 685–694. doi:10.1111/j.1541-0420.2007.00953.x. PMID18162111.
Beesley, L. J.; Mukherjee, B. (2022). "Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification". Biometrics. 78 (1): 214–226. doi:10.1111/biom.13400. hdl:2027.42/172018. PMID33179768.
This page is based on this Wikipedia article Text is available under the CC BY-SA 4.0 license; additional terms may apply. Images, videos and audio are available under their respective licenses.
