Dr. Fei Wang

Professor

Biography

Fei Wang is a distinguished professor at Weill Cornell Medicine, holding the Frances John L. Leob Professorship in Medical Informatics. He serves as the Principal Investigator of the Wang Lab, focusing on advancements in health data science through innovative machine learning and data mining techniques. As the Associate Dean for Artificial Intelligence and Data Science, he leads the Division of Health Informatics and Artificial Intelligence. Wang is also the Founding Director of the WCM Institute of AI for Digital Health and a Senior Faculty Fellow in Clinical AI at Weill Cornell. His research interests encompass predictive modeling for clinical risks, disease subtyping, and the design of computational drug discovery processes. Additionally, he explores knowledge graphs, model interpretability, and federated learning methodologies. With a rich background in both academia and clinical settings, Wang contributes to the training of future leaders in AI and biomedicine.

Research Interests

Health Data Science Predictive Modeling Clinical Risks Disease Subtyping Computational Drug Discovery Knowledge Graphs Machine Learning Data Mining Multi-modal Learning Meta-learning Transfer Learning Model Interpretability Explainability Federated Learning Model Fairness

Experience

Professor
— Present

Weill Cornell Medicine • New York, NY

Serves as a professor in the Department of Population Health Sciences, focusing on health informatics and artificial intelligence.

Principal Investigator
— Present

Wang Lab • New York, NY

Leads research in health data science, incorporating machine learning and data mining approaches.

Associate Dean for AI and Data Science
— Present

Weill Cornell Medicine • New York, NY

Responsible for overseeing AI and data science initiatives across the institution.

Founding Director
— Present

WCM Institute of AI for Digital Health • New York, NY

Established the institute focused on AI innovations in digital health.