Program Team

Principal Investigator (PI)

Bhramar Mukherjee, PhD
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
Professor Bhramar Mukherjee is the Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health (YSPH). Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at YSPH. She holds a secondary appointment in the Department of Statistics and Data Science and is affiliated with the MacMillan Center and the Institute for the Foundations of Data Science. She serves on the Yale Cancer Center Director’s cabinet. Academic Background: Prior to joining Yale University in 2024, Dr. Mukherjee built a distinguished career at the University of Michigan from 2006-2024, where she was appointed as John D. Kalbfleisch Distinguished University Professor of Biostatistics (2023-2024), Siobán D. Harlow Collegiate Professor of Public Health (2023-2024), John D. Kalbfleisch Collegiate Professor of Biostatistics (2015-2023) and Chair of the Department of Biostatistics (2018-2024). She had several other significant leadership appointments at Michigan including an institutional appointment as the inaugural Assistant Vice President for Research for Research Data Services Strategy (2023-2024); Associate Director for Quantitative Data Sciences(2019-2024), Associate Director for Cancer Control and population Sciences (2015-2018) at the University of Michigan Rogel Cancer Center. She also held professorial appointments in Epidemiology and Global Public Health. Professor Mukherjee was actively engaged with the U-M Precision Health initiative, as well as the Michigan Institute of Data Science (MIDAS). She served as the founding director of a flagship undergraduate summer program in big data from 2015-2024. She has supervised twenty doctoral students and three post-doctoral fellows 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 390 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 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.
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Multiple-Principal Investigators (mPI)

Fan Li, PhD
Associate Professor of Biostatistics
Dr. Fan Li is an Associate Professor in the Department of Biostatistics at the Yale School of Public Health. He received his PhD in Biostatistics from Duke University in 2019, and joined the Yale Biostatistics faculty in July, 2019. Dr. Li’s research interests include statistical methods for randomized clinical trials, observational studies and a combination of both. He is an expert in the design, monitoring, analysis of parallel-arm, crossover and stepped-wedge cluster randomized trials, which are increasingly seen in pragmatic clinical trials embedded in the health care delivery systems. He has also contributed novel propensity score methods and software to estimate average causal effects with observational data, aimed at improving overlap and internal validity. His recent methods research include generalizability of randomized trials to external target populations, confirmatory or exploratory heterogeneity of treatment effects analyses, complex endpoints in cluster randomized trials, as well as novel study designs to address patient-centered clinical research questions. His methodological research has been supported by multiple NIH and PCORI grants/awards.
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Terika McCall, PhD, MPH, MBA
Assistant Professor of Biostatistics (Health Informatics)
Dr. Terika McCall is an Assistant Professor in the Biostatistics Department (Health Informatics Division) at the Yale School of Public Health, secondary faculty at the Yale School of Medicine’s Department of Biomedical Informatics & Data Science , and Director of the Consumer Health Informatics Lab (CHIL) at Yale. Dr. McCall’s research interests focus on reducing disparities in mental health service access and use through technology. Specifically, she examines the use of telehealth modalities to deliver mental health services and resources to communities that are underserved. Dr. McCall’s expertise is in user-centered design and usability testing of digital health tools. She has experience leading multidisciplinary teams in industry and academia in the development of digital health tools, and currently teaches a course on the topic, BIS 640/SBS 640: User-Centered Design of Digital Health Tools at Yale School of Public Health. As Director of CHIL, Dr. McCall provides guidance to faculty and students in the development of digital health tools, such as clinical decision support tools, mobile apps, and wearables for diverse populations.
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Co-Investigators (Co-I)

Lee Kennedy-Shaffer, PhD
Assistant Professor of Biostatistics
Lee Kennedy-Shaffer is an Assistant Professor (Educator-Scholar Track) in Biostatistics. Lee received his PhD in Biostatistics under Dr. Michael Hughes in the Harvard T.H. Chan School of Public Health and conducted epidemiologic research there with Drs. Marc Lipsitch and Michael Mina in the Center for Communicable Disease Dynamics. He was an Assistant Professor in the Vassar College Department of Mathematics and Statistics from 2020–2024. His research focuses on randomized and observational study designs and methods for the analysis of infectious disease interventions. This includes mathematical modeling, cluster-randomized trials, and quasi-experimental designs, all with an eye toward broader population health impacts than are usually addressed by individually randomized trials. He has worked on COVID-19 data collection and analysis as well, in particular accounting for the timing and correlation of infections in interpreting test results. This work has been published in journals such as Science, Statistics in Medicine, Clinical Trials, the American Journal of Epidemiology, and the American Journal of Public Health, among others. In addition, he has written on the history of statistics, FDA policy, statistics education, and causal inference in baseball.
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Rohan Khera, MD, MS
Assistant Professor of Medicine (Cardiovascular Medicine) and of Biostatistics (Health Informatics); Clinical Director, Center for Health Informatics and Analytics, YNHH/Yale CORE; Director, Cardiovascular Data Science (CarDS) Lab
Dr. Khera is a Cardiologist and Data Scientist and the Director of the Cardiovascular Data Science (CarDS) Lab, which is a multidisciplinary group focusing on data-driven discovery in cardiovascular disease. He is the Clinical Director of the Center for Health Informatics and Analytics at the Yale Center for Outcomes Research and Evaluation. He is also an Associate Editor for Artificial Intelligence and Digital Health at JAMA. The CarDS Lab, which Dr. Khera leads, is developing and implementing strategies to improve outcomes for patients with or at risk for cardiovascular disease through data-driven innovations in delivering evidence-based, patient-centered care. Dr. Khera’s work focuses on novel applications in medical informatics, machine learning, and artificial intelligence to evaluate patient care and develop precision care solutions. His work spans broad digital data sources, including electronic health records, electrocardiography, cardiovascular imaging, and wearable devices, with applications to modernize US and global healthcare. The work in his Lab is supported by grants from the National Institutes of Health and the Doris Duke Charitable Foundation. Dr. Khera graduated from the All-India Institute of Medical Sciences as a National Young Investigator Scholarship awardee. During his internal medicine residency training at the University of Iowa and his cardiology fellowship training at UT Southwestern Medical Center, Dr. Khera received the American College of Cardiology’s Young Investigator Award and the Francois Abboud Young Investigator Award, in addition to being inducted into the Alpha Omega Alpha Medical Honor Society. For his work at Yale, Dr. Khera received the 2023 ASCI Young Physician-Scientist Award, the 2023 Blavatnik Award, and the 2021 Jeremiah Stamler Award. More details on his work can be found at www.cards-lab.org.
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Heping Zhang, PhD
Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science, Professor of Obstetrics, Gynecology, and Reproductive Sciences; Affiliated Faculty, Yale Institute for Global Health
Dr. Zhang published over 390 research articles and monographs in theory and applications of statistical methods and in several areas of biomedical research including epidemiology, genetics, child and women health, mental health, substance use, and reproductive medicine. He directed a training program in mental health research that was funded by the NIMH. He directs the Collaborative Center for Statistics in Science that coordinates the Reproductive Medicine Network to evaluate treatment effectiveness for infertility. He is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics. He was named the 2008 Myrto Lefokopoulou distinguished lecturer by Harvard School of Public Health and a Medallion Award and Lecturer by the Institute of Mathematical Statistics. In 2011, he received the Royan International Award on Reproductive Health. Dr. Zhang was the president of the International Chinese Statistical Association in 2019. He is a former-editor of the Journal of the American Statistical Association - Applications and Case Studies. He was the recipient of the 2022 Neyman Award and Lecture by the Institute of Mathematical Statistics and the 2023 Distinguished Achievement Award by the International Chinese Statistical Association. He was selected as a 2023 Highly Cited Researcher in cross field by Web of Science.
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Program Manager

Sohani Sirdeshmukh
Program Manager
Sohani is a Program Manager at the Data Science and Data Equity initiative at Yale School of Public Health. Prior to the School of Public Health, she was a Program Manager at the Office of Global Affairs and Planetary Health at Yale School of Nursing. Sohani received her Master in Sustainable International Development from Brandeis University, and a Post Graduate Diploma and Bachelor’s in Bioinformatics, Biochemistry, Microbiology and Chemistry. She has experience in HIV and infectious diseases research and science content development, including conducting clinical trials, analyzing data, and collaboratively developing educational materials for middle and high school students in low-income communities. Sohani has successfully led intiatives across diverse sectors. With over a decade and half of experience in global health, infectious diseases, and education, Sohani's expertise in program management, financial acumen, and communication skills have been instrumental in securing funding, building relationships, and driving positive outcomes. Her passion for innovation and ability to foster cross-functional collaboration have enabled her to drive positive outcomes in her roles.
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