Fei Wang

Fei Wang is a Professor of Health Informatics at the Department of Population Health Sciences, Weill Cornell Medicine (Cornell University). He holds secondary appointments in Emergency Medicine and serves as Associate Dean for Artificial Intelligence and Data Science, Chief of the Division of Health Informatics, and Founding Director of the WCM Institute of AI for Digital Health. His research focuses on machine learning and data mining applications in health data science, including predictive modeling, computational drug discovery, and federated learning.

Dr. Wang leads the Wang Lab, which collaborates across disciplines including computational biology, electrical engineering, and information science. He has received prestigious awards such as the NSF CAREER Award and ACM Distinguished Member status. Notable achievements include championship in NIPS/Kaggle and Michael J. Fox Foundation challenges, and over 350 publications with an H-index of 85.

Key research areas include health data science (clinical risk prediction, disease subtyping), machine learning (multi-modal learning, model interpretability), and translational AI (clinical AI fairness, knowledge graphs). His work bridges data-centric AI with clinical workflows, emphasizing actionable insights in healthcare.

Recent studies include long-COVID analysis in pregnant patients, predictive modeling for sepsis treatment, and AI-driven drug repurposing for Parkinson’s disease. His lab actively develops tools like MoFlow for molecular graph generation and the iBKH biomedical knowledge hub.

• Awards: NSF CAREER (2018), ACM Distinguished Member, AMIA Fellowship
• Grants: NIH, NSF, MJFF, PCORI
• Lab Affiliations: WCM Institute of AI for Digital Health, Hospital for Special Surgery (Adjunct Scientist)