BIOGRAPHY

Sherri Rose, Ph.D. is an Associate Professor in the Department of Health Care Policy at Harvard Medical School. Her work is centered around developing and integrating innovative statistical approaches to advance human health. Broadly, Dr. Rose's methodological research focuses on nonparametric machine learning for causal inference and prediction. Within health policy, Dr. Rose works on risk adjustment, comparative effectiveness research, and health program impact evaluation. She co-leads the Health Policy Data Science Lab, where she directs projects in computational health economics, and is a faculty member in the Healthcare Markets and Regulation Lab at Harvard. Dr. Rose coauthored the book Targeted Learning: Causal Inference for Observational and Experimental Data published by the Springer Series in Statistics in 2011. She serves on several editorial boards, including as Associate Editor for the Journal of the American Statistical Association (JASA) - Theory and Methods and Biostatistics. Dr. Rose was selected as a 2016 AcademyHealth New Investigator and, in 2014, was awarded a William F. Milton Fund grant from Harvard University to develop a novel robust estimator for the study of chronic disease and prosperity in a complex study design.

Dr. Rose received her Ph.D. in Biostatistics from the University of California, Berkeley (2011) under the mentorship of Dr. Mark van der Laan. Her doctoral thesis developed double robust estimators for biased sampling designs. She was honored with the Evelyn Fix Memorial Prize, which is awarded to the Ph.D. student on the Berkeley campus showing the greatest promise in statistical research with a preference for applications to biology and problems of health, and the Chin-Long Chiang Biostatistics Student of the Year Award. Her graduate work was also recognized by the American Statistical Association with the Gertrude M. Cox Scholarship in Statistics, Statistics in Epidemiology Young Investigator Award, and Statistics in Epidemiology Graduate Student Travel Award. Additionally, Dr. Rose received a U.S. Department of Health and Human Services Scholarship for Disadvantaged Students each year of her Ph.D. program.

In 2013, Dr. Rose completed an NSF Mathematical Sciences Postdoctoral Research Fellowship in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Her postdoctoral projects were recognized with a Johns Hopkins Delta Omega Scholarship and a Young Investigator Award from the International Conference on Advances in Interdisciplinary Statistics and Combinatorics

Dr. Rose graduated from The George Washington University with her B.S. in Statistics. She was the recipient of GW's Recent Alumni Achievement Award in 2011. 

Dr. Rose's Erdös number is 4 and h-index is 16. View her academic genealogy, courtesy of the Mathematics Genealogy Project.  In her recreational time, Dr. Rose enjoys distance running, and has completed six marathons and four half marathons. She grew up in South Jersey and now lives in Massachusetts. 

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Trainee Projects

Savannah Bergquist
Health Policy PhD Candidate

  • Unprofitability and vulnerable health care enrollees
  • Computational health economics with normative data
  • Risk adjustment and systematically missing data

Tai Cai
Biostatistics PhD Candidate

  • Statistical methods for hospital profiling

Caitlin Carroll
Health Policy PhD Candidate

  • Arkansas Payment Improvement Initiative

A.J. Rosellini
NIH K01 Mentored Research Scientist

  • Predicting PTSD following natural disaster

Akritee Shrestha
Biostatistics Master's Candidate

  • Machine learning methods for mental health risk adjustment

Yingrui Yang
Biostatistics Master's Candidate

  • Developing double robust methods for biased designs