Li Shen, PhD

Dr. Li Shen is a Professor of Informatics and the Deputy Director of the Informatics Division in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University of Pennsylvania. He holds a secondary appointment in the Department of Radiology, and faculty appointments in the following graduate groups: Applied Math and Computational Science (AMCS), Bioengineering (BioEng), Epidemiology and Biostatistics (GGEB), Genomics and Computational Biology (GCB), and Neuroscience (NGG). He is a Senior Fellow at the Penn Institute for Biomedical Informatics (IBI) and the Penn Leonard Davis Institute of Health Economics. He serves as the Associate Director for Bioinformatics at the IBI, the Faculty Director of the IBI Bioinformatics Core, and Co-Director of the Penn Center For AI And Data Science For Integrated Diagnostics (AI2D).Dr. Shen obtained his Ph.D. degree in Computer Science from Dartmouth College. His research interests include medical image computing, biomedical informatics, machine learning, trustworthy AI, NLP/LLMs, network science, imaging genomics, multi-omics and systems biology, Alzheimer’s disease, and big data science in biomedicine. He has authored over 350 peer-reviewed articles in these fields. His work has been continuously supported by the NIH and NSF. His current research program is focused on developing and applying informatics, computing and data science methods for discovering actionable knowledge from complex biomedical and health data (e.g., genetics, omics, imaging, biomarker, outcome, EHR, health care), with applications to complex disorders such as Alzheimer’s disease.Dr. Shen has served on a variety of scientific journal editorial boards, grant review committees, and organizing committees of professional meetings in medical image computing and biomedical informatics. He served as the Executive Director of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society between 2016 and 2019. He is a fellow of the American Institute for Medical and Biological Engineering (AIMBE), a distinguished member of the Association for Computing Machinery (ACM), and a distinguished contributor of the IEEE Computer Society.