Skip to main content
Funded Studies

Fei Wang, PhD

Associate Professor at Weill Cornell Medicine

Location: New York, NY United States

Fei Wang is an associate professor in the department of population health sciences at Weill Cornell Medicine (WCM), Cornell University. He is also the founding director of the WCM institute of AI for Digital Health (AIDH). His major research interest focuses on AI and digital health. His team won the championship of the American Association for Clinical Chemistry “Predicting PTHrP Result” challenge in 2022, the NIPS/Kaggle Challenge on Classification of Clinically Actionable Genetic Mutations in 2017 and Parkinson's Progression Markers' Initiative data challenge organized by The Michael J. Fox Foundation in 2016. He received a 2018 NSF CAREER Award and the inaugural research leadership award of the IEEE International Conference on Health Informatics in 2019. Dr. Wang is a fellow of the American Medical Informatics Association, the International Academy of Health Sciences Informatics and the American College of Medical Informatics and a distinguished member of the Association for Computing Machinery.  

Associated Grants

  • Identifying Distinct Patterns in Parkinson’s Disease Progression Using Integrative, Data-driven Subtype Analysis


  • Enhancing the Clinical Utility of Data-Driven Parkinson’s Subtypes with Knowledge Distillation and Visualization


  • Data Driven Subtyping of Parkinson's Disease Patients in the BioFIND Study


  • Analyzing Data from the Parkinson’s Progression Markers Initiative to Identify Subtypes of Parkinson’s Disease


We use cookies to ensure that you get the best experience. By continuing to use this website, you indicate that you have read our Terms of Service and Privacy Policy.