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Funded Studies

Fei Wang, PhD

Assistant Professor at Weill Cornell Medicine

Location: New York, NY United States

Fei Wang is assistant professor in Division of Health Informatics, Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University. He also is an academic consultant for Center for Computational Healthcare at IBM T. J. Watson Research Center and AirLiquide Inc. He got his PhD from Department of Automation, Tsinghua University in 2008. His major research interest is data mining, machine learning and their applications in computational medicine. His papers have received over 5,300 citations so far with an H-index 39. His (or his students') papers have won six best paper awards in international conferences. Dr. Wang is the winner of the Parkinson's Progression Markers Initiative data challenge on subtyping Parkinson's disease organized by The Michael J. Fox Foundation. Dr. Wang's research was supported by federal funding agencies such as NSF and NIH, private foundations such as MJFF, as well as industries such as Amazon.


Associated Grants

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

    2019


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

    2018


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

    2017


  • Subtyping Parkinson’s Disease with Deep Learning Models (2016 PPMI Data Challenge Winner)

    2016


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