Li Shen, PhD is a Professor of Informatics and the Interim Director of the Division of Informatics in the Department of Biostatistics, Epidemiology and Informatics. His research interests include machine learning, medical image computing, biomedical and health informatics, network science, imaging genomics, multi-omics and systems biology, Alzheimer’s disease, health disparity, and big data science in biomedicine. He has authored over 300 peer-reviewed articles in these fields. The central theme of his lab 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).
Dr. Shen’s work has been continuously supported by the NIH and NSF. He is presently the PI of multiple NIH and NSF grants on developing informatics, computing and data science methods for various biological, medical, and health care applications including brain imaging genomics, genetics, and drug repurposing studies for Alzheimer’s disease, mining drug effects from the EHR data, AI and technology for aging care, and big data mining in brain science. He 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). He obtained his PhD in Computer Science from Dartmouth College.