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University of Cambridge Dr. Zhao is interested in causal inference in high dimensional settings.

University of Pennsylvania Dr. Ungar’sresearch focuses on developing scalable machine learning methods for data mining and text mining, including deep learning methods for NLP, and analysis of text and images […]

University of Pennsylvania Dr Small is interested in the design and analysis of observational studies, randomized experiments with noncompliance, and applications of causal inference.

University of Pennsylvania Dr Rosenbaum is interested in causal inference in observatonal studies.

University of Pennsylvania Dr. Ridgeway has developed methodologies for estimating propensity scores using machine learning methods. He has conducted a variety of causal analyses in crime and justice applications including […]

Johns Hopkins University Dr. Ogburn’s research is in causal inference and epidemiologic methods. Broadly, she is interested in developing methods for and describing the behavior of traditional statistical machinery when […]

University of Pennsylvania Dr Kording’s current focus is on causality in data science applications – how do we know how things work if we cannot randomize? 

University of Pennsylvania Dr. Keele specializes in research on applied statistics.  His research in focuses on causal inference, design-based methods, matching, and instrumental variables. 

University of Pennsylvania Dr. Hopkins’ research seeks to make causal inferences about political behavior, and he has conducted and analyzed numerous field and survey experiments. 

Temple University Dr. Coffman’s research focuses on improving methods for causal inference, specifically for continuous treatments and mediation. 

University of Pennsylvania Dr. Chan specializes in applied educational statistics, and her research projects and interests are at the leading edge of work on statistics methods in field contexts, including […]

Contact Blockley Hall (Room 633)423 Guardian DrivePhiladelphia, PA 19104 Office: 215-573-4922Fax: 215-573-4865 vallejo@pennmedicine.upenn.edu

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. 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 […]

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 purposefully includes novel statistical and machine learning research and impactful biomedical research, each of which reinforces the other. Its thrust is to develop statistical and machine learning […]

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 […]

Sean Hennessy, PharmD, PhD, uses healthcare data to generate real-world evidence about the health effects of prescription drugs. His team has studied serious health consequences of drug-drug interactions involving high-risk […]

Dr. Maria Cuellar is an Assistant Professor at the University of Pennsylvania in the Department of Criminology, Department of Statistics and Data Science, and the Department of Biostatistics, Epidemiology and […]