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Dr. Sinha is a neuroscientist whose research bridges neural data science, clinical neuroscience, and scalable computational tools to advance personalized care for neurological disorders. His lab integrates multimodal neural data, […]

Dr. Yi Lian is a Postdoctoral Research Fellow in the Biostatistics Division at the University of Pennsylvania. His methodological research spans high-dimensional statistical learning, federated learning, missing-data methods, and integrative […]

Sriharsha Mopidevi is a Senior Application Developer in the Artificial Intelligence for Ambulatory Care Innovation (AI-4-AI) Lab in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. […]

Dr. Yingying Lu is a biostatistician at the Palliative and Advanced Illness Research (PAIR) Center. She received her PhD in Statistics from the University of Arizona, where she specialized in bioinformatics and […]

Miranda is an MD/PhD student from the Graduate Group in Genomics and Computational Biology (GCB). She is interested in developing integrative approaches to leverage multi-omic and clinical data towards precision […]

Akira is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab for a rotation since spring 2025. He received his […]

Thomas Westbrook is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB). He is interested in multi-omic data integration and how it can be used to […]

Lina is a PhD student from the Graduate Group in Genomics and Computational Biology (GCB). She has been co-mentored by Dr. Derek Oldridge at CHOP. She received her BS in Biometry and […]

Yidi Huang is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab in July, 2023. He previously received his BS in […]

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 […]

Manu Shivakumar is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab in July, 2022. He was previously a bioinformatician in […]

Jakob Woerner is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab in July, 2022. He is interested in integrating […]

Karl Jaesik Kim is a graduate student from the Graduate Group in Bioengineering. He is interested in biomedical informatics, machine learning, deep learning, polygenic risk score (PRS), omics data integration, vision […]

Karl Keat is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab in July, 2021. He has been co-mentored by Dr. […]

Erica Suh is a graduate student from the Graduate Group in Genomics and Computational Biology (GCB) and has joined the Kim Lab in July, 2021. She is interested in applying […]

Chang-Uk Jeong has joined the Kim Lab as a data associate at the Center for AI-driven Translational Informatics (CATI) in July 2024. He is interested in translational bioinformatics, omics data […]

Dr. Jaehyun Joo’s primary focus is biomedical data science, leveraging large and complex datasets to address health challenges through statistical and machine learning methods. He is interested in bioinformatics approaches […]

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 […]

Assistant Professor of Pathology and Laboratory MedicinePerelman School of Medicine at the University of Pennsylvania Department: Pathology Contact Department of Pathology and Laboratory MedicinePerelman School of Medicine at the University […]

Professor of Medicine (Renal-Electrolyte and Hypertension)Hospital Appointment, Philadelphia VA Medical CenterMember, Institute of Diabetes and Obesity and MetabolismMember, Institute of Translational Medicine and TherapeuticsMember of MD PhD admission Committee, PSOMCodirectorof […]

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

Yonghyun Nam is a Research Assistant Professor of Informatics in the University of Pennsylvania’s Perelman School of Medicine. He joined the faculty in 2025 after completing postdoctoral and research associate […]

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. Shefali Setia‑Verma is an Assistant Professor in the Department of Pathology and Laboratory Medicine and the Division of Informatics within the Department of Biostatistics, Epidemiology, and Informatics at the Perelman […]

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. 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. 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. 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. Wagenaar’s research is focused on the mechanisms of data integration, analysis and sustainable scientific collaboration through technology. The challenges of integrating complex scientific data are accompanied by a need […]

Joseph D. Romano is an Assistant Professor of Informatics and Pharmacology in the University of Pennsylvania’s Perelman School of Medicine. He joined the faculty in 2023 after completing postdoctoral and […]

Dr. Danielle Mowery is a collaborative investigator that develops natural language processing (NLP) solutions for processing clinical texts – i.e., clinical notes, chatbots, and transcribed texts – to support clinical […]

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 program marries innovative data science, informatics, and ML/AI research with impactful biomedical research. His lab has focused on developing robust statistical and ML/AI methods and models for […]

In addition to his professorial role, Dr. Morris serves as Director of the Division of Biostatistics. His research interests focus on creating hybrid ML-AI/statistical tools for extracting knowledge from large-scale […]

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. 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. Dokyoon Kim is an Associate Professor of Informatics and serves as the Director of the Center for AI-Driven Translational Informatics (CATI). He also holds the role of Associate Director […]

Dr. Getz is a pediatric cancer epidemiologist whose research aims to improve outcomes for children and young adults with cancer. Her research has focused on understanding the occurrence and subsequent […]

John H. Holmes, PhD, is Professor of Medical Informatics in Epidemiology at the University of Pennsylvania Perelman School of Medicine. He is the Associate Director for Education and Training and […]

Dr. Jinbo Chen is Professor of Biostatistics in the Department of Biostatistics, Epidemiology & Informatics at the University of Pennsylvania Perelman School of Medicine. Her research focuses on statistical methods […]

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. Demiris is the Mary Alice Bennett University Professor in the School of Nursing and Perelman School of Medicine, and Associate Dean for Research and Innovation in the School of […]

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 […]