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Elizabeth Diemer is an Assistant Professor of Epidemiology in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania and a faculty member in the Department of Pediatrics […]

Dr. Jinghao Sun is a Postdoctoral Researcher at the Center for Causal Inference at the University of Pennsylvania, working with Professors Eric J. Tchetgen Tchetgen and Douglas E. Schaubel. In […]

Dr. Kwangmoon Park is a Postdoctoral Researcher at the University of Pennsylvania, where he works with Professor Hongzhe Li. He received his Ph.D. in Statistics from the University of Wisconsin-Madison […]

Yajnaseni (Yajna) Chakraborti, PhD, is a postdoctoral researcher at the Center for Health Innovation in Reproductive and Perinatal Population Research within the Perelman School of Medicine at the University of […]

Dr. Zixuan Zhang collaborates with Dr. Brielin Brown, Dr. Bogdan Pasaniuc, and Dr. Michael Gandal. Her research centers on developing statistical and computational methods in human genetics, with a particular […]

Dr. Xiaotian Hou is a Postdoctoral Researcher in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. He obtained his Ph.D. in Statistics from Rutgers University, advised […]

Dr. Kyle Busse is a nutritional and reproductive epidemiologist whose research focuses on fertility and adverse pregnancy outcomes. He is particularly interested in the application of causal inference methods for […]

Huilin Tang, PhD, is a postdoctoral researcher at the Perelman School of Medicine, University of Pennsylvania. He earned his PhD in Pharmaceutical Outcomes and Policy from the University of Florida […]

Lin-Chieh Meng is a pharmacist with a Master’s degree in Clinical Pharmacy from Taiwan and is currently a PhD student in Epidemiology at the University of Pennsylvania. Her research interests […]

Dr. Yingying Lu is a biostatistician at the Palliative and Advanced Illness Research (PAIR) Center. She received her PhD in Statistics from the University of Arizona, where she specialized in bioinformatics and […]

Kenneth Lee is a postdoctoral researcher in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, mentored by Dr. Michael Harhay, Dr. Katherine Courtright, and Dr. Fan […]

Zhe Chen is a postdoctoral researcher in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, mentored by Dr. Michael Harhey and Dr. Dylan Small. She earned […]

Dr. Alexander Levis is an Assistant Professor of Biostatistics in the Department of Biostatistics, Epidemiology and Informatics. He was formerly a postdoctoral researcher in the Statistics & Data Science department […]

My research focuses on developing robust and efficient methodologies that minimize reliance on restrictive modeling assumptions. I am particularly interested in creating methods that integrate machine learning to ensure data-adaptive […]

Dr. Jones is a pulmonologist and epidemiologist who investigates the genetic determinants of acute respiratory failure. Her primary research interest is the elucidation of the molecular and genetic risk factors […]

Dr. Yang’s methodological research includes causal inference, functional data analysis and dynamic risk prediction. He is also interested in collaborative research in chronic kidney disease, cardiovascular disease and pharmacoepidemiology.

Dr. Zee’s research focuses on developing and applying methods for observational and survival data analysis and identifying novel biomarkers of kidney disease progression. She collaborates on clinical research projects in […]

Dr. Shen is a Professor and the Interim Director of the Informatics Division in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University […]

Dr. Stephens Shields is an Associate Professor of Biostatistics. Her research is focused on extensions and innovative applications of causal inference approaches to enhance the design and analysis of clinical […]

As University Professor, Dr. Tchetgen Tchetgen holds joint primary appointments in the Department of Statistics and Data Science at The Wharton School and in the Department of Biostatistics, Epidemiology and […]

Dr. Schaubel’s methodologic research interests mostly involve survival analysis and the analysis of recurrent event data. His more recent methodology has been at the intersection of causal inference and survival […]

Dr. Enrique F. Schisterman is Perelman Professor and Chair of the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine. He is an elected member of the […]

Nicholas J. Seewald, PhD is an Assistant Professor in the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine at the University of Pennsylvania. Previously, Dr. Seewald […]

Dr. Mumford is renowned for her research on modifiable dietary and lifestyle factors affecting reproductive health, which has informed guidelines for women, men, and couples. Her work uses couples-based approaches […]

Yun Li, PhD is Associate Professor of Biostatistics in the Perelman School of Medicine at University of Pennsylvania’s Department of Biostatistics, Epidemiology and Informatics (DBEI), and a faculty member at […]

Dr. Linn’s methodological research addresses barriers to incorporating complex, high-dimensional data into models for personalized medicine and biomarker development using neuroimaging data. As a co-investigator, she provides biostatistical leadership on […]

Dr. Long’s research program marries innovative data science, informatics, and ML/AI research with impactful biomedical research. His lab has focused on developing robust statistical and ML/AI methods and models for […]

Dr. Miano is a critical care pharmacist and epidemiologist whose work aims to reduce harm from adverse drug events in acutely ill patients. His research focuses on understanding the determinants […]

Dr. Mitra’s primary research interests include the design and analysis of observational studies, causal inference, and statistical approaches for cost-effectiveness analysis. She has developed doubly robust approaches to estimation of […]

Dr. Hsu’s statistical research focuses on methods for observational studies and causal inference. He has specific interests in survival analysis, longitudinal data analysis, inverse probability treatment weighting, and the potential […]

Dr. Huang’s research focuses on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She is currently the PI of a […]

Dr. Jin’s research focuses on developing statistical methods and computational tools to address cutting-edge problems in public health and medicine by integrating large-scale, multi-source datasets. Her research areas include health […]

Dr. Leonard is an Associate Professor of Epidemiology in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine. He serves as a faculty and Executive Committee […]

Working with Penn collaborators, we are currently developing methods for analysis of high-throughout genomic data. Our application areas include genome-wide association studies of neuroblastoma, eQTL analysis of human heart failure […]

Dr. Getz is a pediatric cancer epidemiologist whose research aims to improve outcomes for children and young adults with cancer. Her research has focused on understanding the occurrence and subsequent […]

Dr. Harhay, Founding Director of the Center for Clinical Trials Innovation, specializes in the statistical design, analysis, and interpretation of large randomized trials and cohort studies. He has been involved […]

Dr. Cohen’s primary research interest is in the area of hypertension. Her research program focuses on better understanding physiology-driven pharmacologic effects of antihypertensive medications in complex and high-risk disease states […]

Brielin C. Brown is an Assistant Professor of Informatics and Genetics in the Perelman School of Medicine who is broadly interested in the development and application of statistical and computational […]

Dr. Caniglia is a perinatal and HIV epidemiologist who works to improve health outcomes among pregnant people and their children, and among people with HIV. Her work utilizes methods for […]