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In Annals of Internal Medicine, Nicholas Seewald, PhD, introduces a framework for target trial emulation, enabling researchers to evaluate health policies with the rigor of clinical trials in nonexperimental studies.

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

Contact Blockley Hall (Room 633)423 Guardian DrivePhiladelphia, PA 19104 Office: 215-573-7393 mfox@pennmedicine.upenn.edu

Alisa Stephens Shields, PhD serves as an Associate Professor in the Biostatistics division of the Department of Biostatistics, Epidemiology and Informatics, and is recognized for her collaboration and impactful leadership in the realms of health, statistical education, and inclusion in the field.

Alisa Stephens Shields, PhD, Associate Professor of Biostatistics, was selected by the Harvard T.H. Chan School of Public Health to receive the 2024 Myrto Lefkopoulou Distinguished Lectureship.

Before joining Harvard University as an Assistant Professor of Biostatistics, Rui Duan, PhD, completed her PhD in Biostatistics at the University of Pennsylvania.

Edward Kennedy, PhD is a Penn alum through and through—prior to completing his PhD in Biostatistics in 2016, he earned his BA in Mathematics (2007) and MA in Statistics (2014) from the University.

Dr. Xiao’s primary research interests are in statistical genetics and genomics. She is also interested in collaborative research in pediatrics.

Dr. Xie’s methodological research focuses primarily on the analysis of complex survey data, and she has a special interest in small-area estimation. She has served as the lead biostatistician for […]

Dr. Xie’s current research goals are twofold. First, she continues to develop new statistical methods for survival analysis, missing data, measurement error problems, high dimensional data, biomarker evaluations, and longitudinal […]

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. Zheng is an assistant professor of Biostatistics. His research focuses on the development of novel statistical methods to address important scientific problems, and the application of sound statistical approaches […]

Dr. Weijie Su is an Associate Professor in the Department of Statistics and Data Science (The Wharton School) and, by courtesy, in the Department of Computer and Information Science and […]

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. Shinohara’s methodological research centers on the assessment of structural and functional changes in the brain throughout the lifespan and in neurological, psychiatric, and developmental disorders. He is interested in […]

Dr. Shou’s methodological research focuses mainly on developing novel functional data analysis and machine learning models for multimodal and longitudinal imaging measures, wearable computing sensor data, and assessing biomarker reproducibility. […]

Dr. Shults is currently the principal investigator of the NIH-funded project “Longitudinal Analysis for Diverse Populations” (R01CA096885). Her work on this project involves quasi-least squares (QLS) and is based on […]

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 […]

Dr. Putt is a translational scientist, whose goal is to both bring state-of-the-art statistical methodologies to the design and analysis of biomedical research studies, and to adapt/develop methodologies to meet […]

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 […]

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 […]

Devan V. Mehrotra, PhD, is Vice President, Biostatistics at Merck Research Laboratories (MRL), the R&D Division of Merck & Co., Inc. He leads a team of approximately 90 biostatisticians and […]

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 […]

Knashawn H. Morales received her Bachelor’s in Mathematics in 1995 from Hampton University and received a doctorate in Biostatistics in 2001 from Harvard School of Public Health. After two years […]

In addition to his professorial role, Dr. Morris serves as Director of the Division of Biostatistics. His research interests focus on developing quantitative methods to extract knowledge from biomedical big […]

Dr. Li joined the biostatistics faculty in 2006 after receiving her PhD in Biostatistics from the University of Michigan in 2005. She is also a faculty member of the Genomics […]

Dr. Li’s methodology research interests include clinical trial design, survival analysis, longitudinal data analysis, and statistical methods for health services research. Her earlier research focused on survival analysis, specifically statistical […]

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. Localio’s current methodological work centers on computing risk difference and relative risk estimates in complex designs such as occur in multicenter studies and meta-analyses, as well as on issues […]

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. 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. Rebecca Hubbard’s lab focuses on the development, application, and evaluation of statistical methods for the analysis of real-world data (RWD) such as electronic health records (EHR) and medical claims […]

Dr. Hwang’s research is focused on statistical methods for early-phase oncology trials; analysis of survival, longitudinal and spatial data; and the discovery and evaluation of cancer biomarkers. She has extensive […]

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. Landis serves as Senior Vice Chair (SVC) of the Department of Biostatistics, Epidemiology and Informatics (DBEI); Director of the Biostatistics Unit within the Center for Clinical Epidemiology and Biostatistics […]

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. Gimotty’s research focuses on statistical methods and their applications in cancer translational research, prevention and control, and risk assessment. She has served as the biostatistics core director for the […]

Dr. Guo joined the Biostatistics faculty at the University of Pennsylvania in 1998, and was promoted to Professor of Biostatistics in 2010. He was elected as ASA fellow in 2010 […]

Ongoing Methodological Research: Dr. Feng’s current research focuses on exploring and improving the potential of deep learning methodologies, for structured input variables in biomedical research. Her recent development of the […]

Dr. Chen’s research focuses primarily on the development of statistical methods for designing and analyzing two-phase epidemiologic studies, on methodological and collaborative work in genetic-association studies of complex diseases, and […]

Dr. Yong Chen is Professor of Biostatistics at Department of Biostatistics, Epidemiology, and Informatics (DBEI), and a Senior Scholar at Center for Clinical Epidemiology & Biostatistics (CCEB) at the University […]

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 […]

Dr. Ellenberg’s work focuses on the design and analysis of clinical trials and observational studies and, in particular, on selection bias and generalization, the etiology of childhood neurological illnesses and […]

Dr. Ellenberg’s research interests have focused on issues in the design and analysis of clinical trials, and on assessment of medical product safety. Particular areas of interest include efficient trial […]

Scarlett Bellamy is Chair and Professor of Biostatistics at Boston University. Prior to this, she was a professor in the Department of Epidemiology and Biostatistics and the Associate Dean for […]

Dr. Bilker’s methodological research focuses on pharmacoepidemiology, survival analysis, psychiatric methods and correlated data. His primary applied research interests are in schizophrenia and in the analysis of pharmacoepidemiology data using […]

Dr. Cao has established himself as a leader in the field of collaborative analytics, particularly in high-dimensional and imaging science. He has worked on problems in the study of the […]

Dr. Mingyao Li's article in Nature Methods discusses how artificial intelligence is revolutionizing spatial omics, enhancing integration of diverse data and accelerating biological discoveries for improved health outcomes in biomedical research.

Nandita Mitra, PhD, Professor of Biostatistics, has been awarded the 2024 L. Adrienne Cupples Award for her outstanding contributions to research, teaching, and leadership in biostatistics and public health.

Russell “Taki” Shinohara, PhD was selected as the 2023 Mortimer Spiegelman Award recipient by the Applied Public Health Statistics Section of the American Public Health Association (APHA). Each year, the APHA […]

In April 2023, the American Statistical Association (ASA) bestowed its prestigious distinction of Fellow on Phyllis Gimotty, PhD, Alisa Stephens-Shields, PhD, and 45 other ASA members for their professional contributions, leadership, and commitment […]

Advanced spatial transcriptomics techniques are advancing our understanding of cancer and other diseases at the cellular level: “You can zoom in, you can look at the tissue-specific features, how many […]

In a review of current facts about the antiviral drug Paxlovid, Susan Ellenberg, PhD, comments on Pfizer’s unusual release of interim results during an ongoing clinical trial. Read the article […]

Knashawn Morales, ScD, and Wei-Ting Hwang, PhD, have been named as new Fellows of the American Statistical Association. The world’s largest community of statisticians, the ASA is known as the […]

For medical researchers who aim to understand the patient experience, “collecting abundant social-media data is cost-effective, does not involve burdening participants, and is available in real time,” Graciela Gonzalez Hernandez, […]

Masking policies during Covid-19 have inspired plenty of political debate, but scientific evidence about the policies’ effects has been very limited. This isn’t surprising, given that it is not practical […]

Jeffrey Morris, PhD, commented on how expanded reporting requirements and intense scrutiny of the hundreds of millions administered COVID-19 vaccine doses have driven record-high reporting of potential side effects to […]

It’s frustrating when vaccine opponents use the government’s VAERS database to stoke false concerns about safety, says Susan Ellenberg, PhD, “especially when they interfere in such major ways with critical […]

Many human diseases start out with single cells, which establish the problem by spreading out. Spatial transcriptomics, a groundbreaking method, allows scientists to take advantage of that activity, measuring all […]

A new study showed that older Israelis who received a third dose of a COVID-19 vaccine are much less likely to test positive for SARS-CoV-2 or to develop severe COVID-19 […]

Some evidence that the protection of the Covid19 vaccine wanes comes from observational studies ” and so we must view our inferences critically, says Jeffrey Morris, PhD. In everyday life, […]

An analysis by Jeffrey Morris, PhD, showed how Israel’s Covid19 data were easily misinterpreted: the elderly are both most vaccinated and most at risk for severe illness. The findings were […]

Covid-19 vaccines work, but a statistical illusion makes some people think they don’t. This perspective piece prominently cites work by Jeffrey Morris, PhD.   Read the perspective in the Washington Post

Pennsylvania isn’t tracking all Covid-19 cases in vaccinated residents, but other states’ data show a clear, relevant trend, says Jeffrey Morris, PhD: “The vaccines are really working, and the unvaccinated […]

Some people do misinterpret events reported in the public Vaccine Adverse Event Reporting System (VAERS), says Susan Ellenberg, PhD. “But without public access, I think it’s worse. Because then you […]

Where vaccination rates are highest, we see fewer Covid-19 cases. But if virus activity increases in winter, areas with low vaccination rates will be at higher risk, commented Jing Huang, […]

As Pennsylvania nears a Covid-19 vaccination benchmark, Jeffrey Morris, PhD, says county-level variations won’t be a big problem: While we may see some local brush fires, we won’t have a […]

Susan Ellenberg, PhD, said that by the time most participants were vaccinated, there was less COVID-19 going around ” possibly making the vaccines seem a bit more effective than they […]

Susan Ellenberg, PhD, sorted out recent news about COVID-19 vaccines, and how the public can evaluate various facts. Listen to the Stats + Stories podcast

“That first month was really hard,” commented Alisa Stephens-Shields, PhD, about the COVID-19 lockdown. Her infant daughter’s day care was closed, and her five-year-old was at home, not at school. […]

Susan Ellenberg, PhD, discussed the risks of blood clots connected with the AstraZeneca COVID-19 vaccine and weighed whether it was necessary to suspend use. Hear the coverage on the BBC

Susan Ellenberg, PhD, said some reports of post-vaccination symptoms may actually be unrelated to the COVID-19 vaccine. “Vaccines protect against one thing: the infection or the infection plus disease,” she […]

Artificial intelligence and machine learning can help us fight COVID-19, Jason Moore, PhD, told The Washington Post. But if you study only populations that are primarily Caucasian, that may not […]

The Philadelphia Chapter of the American Statistical Association” the world’s largest community of statisticians” has honored  Hongzhe Li, PhD, with its Award for Reseach Excellence. Read more about Dr. Li.