Zelen Award

Marvin Zelen Leadership Award in Statistical Science

We are extremely pleased to announce Dr. Bhramar Mukherjee will be the recipient of the 2024 Marvin Zelen Leadership Award in Statistical Science!

Thursday, May 9th, 2024
4:00 pm Kresge G3
Reception to follow – Kresge Atrium
Harvard T.H. Chan School of Public Health

Dr. Mukherjee is one of the foremost statisticians working in key areas of statistical genetics and genetic epidemiology, with an expansive body of work that has helped to define the methodological landscape in statistical genetics.

Currently the John D. Kalbfleisch Distinguished University Professor of Biostatistics, Chair of the Biostatistics Department, and Assistant Vice President for Research at the University of Michigan, Dr. Mukherjee is also the Siobán D. Harlow Collegiate Professor of Public Health, and Professor of Epidemiology and Global Public Health at the University of Michigan. She serves as the Associate Director for Quantitative Data Sciences at the University of Michigan Rogel Cancer Center. In addition, she is an Honorary Senior Visiting Fellow at the MRC Biostatistics Unit and an Overseas Fellow of the Churchill College of the University of Cambridge.

Dr. Mukherjee completed a Ph.D. in Statistics from Purdue University in 2001, receiving the Burr Award for outstanding doctoral student in 2001. She was Assistant Professor of Statistics at the University of Florida from 2002-2006, before joining the Biostatistics Department at Michigan. She was awarded the John G Searle Assistant Professorship in 2008 and was promoted to Associate Professor with tenure in 2009, and to Full Professor just four years later. She is currently in her eleventh year as a full professor and ninth year as a named Collegiate Professor. In 2018, she was appointed as the first female chair at the Department of Biostatistics, University of Michigan, a department that was founded in 1949. Her inspirational and visionary leadership at Michigan Biostatistics has positioned the department to thrive in the era of big data and data science.

Dr. Mukherjee is known for her work in case-control studies, gene-environment interaction, electronic health records, data integration and analysis of large-scale environmental exposure data.  Her work in statistical methodology shows an outstanding combination of breadth and depth, ranging from empirical Bayes methods and methods for shrinkage estimation, to Bayesian analysis of time series models, to methods for studying mediation and complex interactions, and causal inference. Her high-impact collaborations have included work in cancer, environmental health, and reproductive epidemiology, in addition to more recent work in infectious diseases. She has co-authored more than 380 published articles in prestigious statistics, biostatistics, epidemiology, and medical journals.

Among Dr. Mukherjee’s expansive portfolio of research, her contribution during the recent global pandemic deserves special mention. In the early days of the pandemic, Dr. Mukherjee founded the COVID-19 study group to model the virus outbreak in India. Comprising scholars at the University of Michigan, other US universities, and India, the focus of the study group was on modeling the effect of non-pharmaceutical interventions on the transmission of the virus in India.  The group used a compartmental epidemiologic model to track the virus curve and provide predictions that are updated daily.

Dr. Mukherjee has received many awards for her research in the professional world of statistics including the Gertrude Cox Award, the Adrienne Cupples Award, the Janet Norwood Award, and the Sacks Award. In 2022, she was elected to the US National Academy of Medicine, a rare achievement for a statistician.  Dr. Mukherjee is a much-sought speaker and has given over 300 invited talks on her research in the last 10 years. She has been particularly successful in obtaining research grants as principal investigator – serving as PI on nearly fifteen grants, including multiple statistical methodology grants from the NIH and the NSF. She has served as associate editor on eleven journals in statistics and epidemiology and participated in many NIH grant review panels.

Dr. Mukherjee has a remarkable record of leadership, particularly notable for her efforts to advance careers of women and underrepresented groups in statistics and data science, and to train the next generation of scholars. Dr. Mukherjee is the founding director (2015-present) of the University of Michigan’s Big Data Summer Institute for undergraduate trainees, a program supported by Rogel Cancer Center as well as an NIH R25 grant. To date, the Big Data Summer Institute has engaged and trained nearly 300 undergraduate students since it was launched; more than 50% of participants are women and more than 20% from underrepresented minority backgrounds.

The range, depth, and innovation of Dr. Mukherjee’s research contributions are exceptional among scholars in statistical science. Her exceptional work on the COVID-19 pandemic, her achievements in global health, her inspiring leadership at Michigan Biostatistics and her impactful statistical and epidemiological research, make her a worthy recipient for the Marvin Zelen Leadership Award. Most importantly, she is a dynamic and highly engaging scientist and a visionary leader who connects and builds communities, reflecting the spirit of Marvin Zelen.


About the Award

Marvin_ZelenThis annual award, supported by colleagues, friends and family, was established to honor Dr. Marvin Zelen’s long and distinguished career as a statistician and his major role in shaping the field of biostatistics.

The award recognizes an individual in government, industry, or academia, who by virtue of his/her 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. The award recipient will deliver a lecture on statistical science and will be presented with a citation and an honorarium.


Nominations

Nominations are welcome for this year’s award, to be given in April 2024.

Please send nominations via email

Nominations should include at least 2 letters describing the contributions of the candidate, specifically highlighting the criteria for the award, and a curriculum vita. Other supporting materials would be extremely helpful to the committee.

All nominations must be received by Friday, February 16, 2024.


Previous Award Winners

2023 David Harrington
The special relationship between survival analysis and cancer research — successes and persistent problems

2022  Xihong Lin
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection

2021  Marie Davidian
Estimating Vaccine Efficacy Over Time After a Randomized Study is Unblinded

2020  Roderick J. Little
Missing Data Methods: Past, Present and Future

2019  Colin B. Begg
Challenges of Leading a Biostatistics Department in the 21st Century

2018  Constantine Gatsonis
The Evaluation of Diagnostic Imaging in the Era of Radiomics

2017  Richard Simon
Translating Genomics to Personalized Oncology: Key Contributions of Statistical Scientists

2016  Karen Bandeen-Roche
The Flourishing Statistical Environment: How can we tell?

2015  Nan M. Laird
DeSermonian and Laird on Meta-Analysis: Three Second

2014  Xiao-Li Meng
Personalized Treatment: Sounds Heavenly, But Where On Earth Did They Find the Right Guinea Pig For Me

2013  John J. Crowley
A Brief History of Survival Analysis

2012  Nicholas P. Jewell
Counting Civilian Casualties

2011  J.Richard Landis
Methods for Investigating Agreement & Concordance: with Applications in the Biomedical Sciences

2010  Ingram Olkin
Measures of Heterogeneity. Diversity and Inequality

2009  David L. DeMets
Challenges in Clinical Trials; Some Old and Some New

2008  Norman E. Breslow
The Case-Control Study: Origins, Modern Conception and Newly Available Methods of Analysis

2007  Scott L. Zeger
The Symbiosis of Statistical Science and Biomedicine; Past and Future

2006  Mitchell H. Gail
Absolute Risk: Clinical Applications and Controversies

2005  Ross L. Prentice
Chronic disease prevention: Research strategies and needs

2004  Robert C. Elston
The analysis of case-control data to detect candidate genes

2003  Wayne A. Fuller
Analytic studies with complex survey data

2002  Robert O’Neill
A Perspective on the Development and Future of Statistics at the FDA

2001  Niels Keiding
Event Histories and Their Analysis

2000  Lincoln E. Moses
Deciding whether Large Clinical Trials and Meta-analyses Agree or Not

1999  John W. Tukey 
A Smorgasbord of Handy Techniques That Can Help in Analyzing Data

1998  Sir David Roxbee Cox 
Graphical Models in Statistics: A Review

1997  Frederick Mosteller
The Importance of Clinical Trials in Education