Archives

Dr. Puvvula is an environmental epidemiologist in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, Perelman School of Medicine. His research primarily evaluates associations between exposures […]

Dr. Kwangmoon Park is a Postdoctoral Researcher at the University of Pennsylvania, where he works with Professor Hongzhe Li. He received his Ph.D. in Statistics from the University of Wisconsin-Madison […]

Dr. Mingyao Li co-authored a study demonstrating iSCALE, a method that maps large human tissues at molecular and spatial resolution, uncovering disease features previously invisible.

Dr. Zixuan Zhang collaborates with Dr. Brielin Brown, Dr. Bogdan Pasaniuc, and Dr. Michael Gandal. Her research centers on developing statistical and computational methods in human genetics, with a particular […]

Dr. Maxwell Salvatore is a Postdoctoral Fellow working with Dr. Yong Chen in the Department of Biostatistics, Epidemiology, and Informatics and Dr. Marylyn Ritchie in the Department of Genetics. Dr. […]

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 […]

Junhyeong Lee is a visiting graduate student in Seungguen Lee (Shawn)’s lab. His research focuses on early disease prediction using EHR data and polygenic risk score through SNP heritability estimation, […]

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 […]

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 […]

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. […]

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. 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 […]

Ge Li and Ning Zhao ProfessorProfessor of Statistics and Data ScienceVice Dean of Wharton Doctoral Programs Research Interests: Statistical Genetics and Genomics Links: CV, Lab Website Overview Dr. Zhang is a Ge Li […]

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 […]

Associate Professor of Pathology and Laboratory MedicineAssociate Investigator, Abramson Family Cancer Research InstituteBioinformatics Faculty Lead, Penn Center for Personalized DiagnosticsFaculty Member, Institute for ImmunologyMember, Abramson Cancer CenterSenior Fellow, Institute for […]

Associate Professor of GeneticsSenior Fellow, Institute for Biomedical Informatics (IBI), Perelman School of MedicineFaculty Member, Center for AI and Data Science in Integrated Diagnostics, Perelman School of MedicineFaculty Member, Statistical […]

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. 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 […]

Dr. Jones is a pulmonologist and epidemiologist who investigates the genetic determinants of acute respiratory failure. Her primary research interest is the elucidation of the molecular and genetic risk factors […]

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. 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. Naj is an Associate 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 program marries innovative statistical and ML/AI research with impactful biomedical research. His lab has focused on developing robust statistical and ML/AI methods and models for advancing intelligent […]

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 […]

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 […]

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 […]