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; Affiliated Faculty, Yale Institute for Global Health
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...
Associate Professor of Biostatistics and Associate Professor of Medicine (Cardiovascular Medicine)
Dr. Fan Li is an Associate Professor in the Department of Biostatistics at Yale School of Public Health and holds a secondary appointment in the Department of Internal Medicine (Section of Cardiovascular Medicine) at Yale School of Medicine. He is a faculty member in the Center for Methods in Implementation and Prevention Science, and is also affiliated with the Yale Center for Analytical Sciences as well as the Clinical and Translational Research Accelerator. He received his Ph.D. in Biostatistics from Duke University in 2019. His research is centered on advancing statistical methodology in causal inference, clinical trial design, and mediation analysis, integrating modern semiparametric and machine learning techniques to address complex challenges in pragmatic trials, clinical research, biomedical science, and public health. Several examples of Dr. Li’s ongoing research agenda include: (1) improving study planning, estimands construction, and model-robust methods that enhance rigor and efficiency of cluster randomized trials and stepped wedge designs; (2) advancing propensity score methods, doubly or multiply robust methods, principal stratification, and causal mediation techniques to address challenges such as censored endpoints, mismeasured exposures, and intermediate variables; (3) developing and integrating flexible and principled frequentist and Bayesian machine learning algorithms to improve both average and individualized causal effect estimation in...
Assistant Professor of Biostatistics (Health Informatics); Affiliated Faculty, Yale Institute for Global Health
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.
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.
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...
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.
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.