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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 […]

Mingyao Li, PhD and her Penn Medicine colleagues developed an AI-powered tool called MISO (Multi-modal Spatial Omics) that can detect cell-level characteristics of cancer by looking at data from extremely small pieces of tissue—some as small as the width of five human hairs.

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 ML/AI research and impactful biomedical research, each of which reinforces the other. Its thrust is to develop statistical and machine learning methods […]

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 […]

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. 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 […]

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 […]