Archives

Before joining Penn, Dr. Kyle Stanley received his Ph.D. in Statistics from Penn State University and his B.A. in Mathematics at Bowdoin College. He also worked for two years as […]

Matthew Lee is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab in July, 2022. He has been co-mentored by Dr. John […]

Dr. Jonghyun Lee has joined the Kim Lab as a postdoctoral fellow since March 2024. He is interested in machine learning algorithms and real-world applicable methodologies for the biomedical field. […]

Dr. Dong-gi Lee joined the Kim Lab in September 2022. His research interests include graph-based machine learning algorithms and applying them in fields of biomedical informatics. He is also interested […]

Assistant Professor of Pathology and Laboratory MedicineMember, Institute of Diabetes, Obesity and Metabolism – University of Pennsylvania Department: Pathology and Laboratory Medicine Contact 713B Stellar-Chance Laboratories BuildingPhiladelphia, PA 19104 Office: 215 […]

Dr. Huang is an Assistant Professor of Pathology and Laboratory Medicine, with a secondary appointment in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania Perelman School of Medicine. […]

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. 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. 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 […]

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. 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 […]

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 […]