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Dr. Xiao’s methodological research centers around statistical genetics and genomics, where she develops statistical methods and computational tools for RNA-seq and single cell RNA-seq (scRNA-seq) data analysis. Particularly, she has […]

Dr. Naj is an Assistant Professor of Epidemiology in the Department of Biostatistics, Epidemiology and Informatics, and the Department of Pathology and Laboratory Medicine at the University of Pennsylvania Perelman […]

Dr. Ritchie is an expert in translational bioinformatics, with a focus on developing, applying, and disseminating algorithms, methods, and tools integrating electronic health records (EHR) with genomics. The mission of […]

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. 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 […]

The goal of Dr. McCarthy’s research is to reduce the burden of cancer through improved prevention and screening strategies, particularly for racial/ethnic minorities. Her work seeks to integrate genomics into […]

Dr. Merkel is the Chief of Rheumatology and a Professor of Medicine and Epidemiology at the University of Pennsylvania. Dr. Merkel is an internationally recognized research and clinical expert in vasculitis, […]

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. 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. Jones is a critical care physician and genetic epidemiologist who investigates the genetic determinants of acute respiratory failure. Her primary research interest is the elucidation of the molecular and […]

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. Himes’ work focuses on using biomedical informatics approaches to study asthma and other complex traits. Dr. Himes began asthma genetics and pharmacogenetics research by participating in genome-wide association studies […]

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 […]

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 […]

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. 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.

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 […]