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    Hao He

    Ph.D. Student

    Hao He is a PhD candidate in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT).12 His research interests lie at the intersection of generative AI, machine learning, and their applications in medicine and human health, with a particular focus on passive, continuous, remote health monitoring to support virtual clinical trials and health-care management.2

    Hao He began his PhD studies at MIT in 2017 and is expected to graduate in 2025.1 His PhD advisor is Dina Katabi, and he has expertise in machine learning for healthcare.1 Prior to his doctoral studies, Hao He received his undergraduate degree from Peking University.3

    As part of his research, Hao He has developed monitoring systems applied in clinical studies of Parkinson's disease, Alzheimer's disease, and epilepsy.2 He is currently working on developing trustworthy AI models that promote equitable access and deliver fair performance independent of race, gender, and age.2 Hao He was also selected as a Takeda Fellow for the 2023-24 academic year, which will support his work on developing a novel technology for the passive monitoring of sleep stages using radio signaling.2

    Highlights

    Aug 1 · oge.mit.edu
    Vu Anh Le | MIT Summer Research Program
    Nov 2 · news.mit.edu
    2023-24 Takeda Fellows: Advancing research at the intersection of ...
    2023-24 Takeda Fellows: Advancing research at the intersection of ...
    Jan 1 · openreview.net
    Hao He - OpenReview

    Related Questions

    What is Hao He's primary research focus at MIT?
    How has Hao He's work impacted the field of machine learning for healthcare?
    What are some notable projects Hao He has worked on during his PhD?
    Who is Hao He's PhD advisor at MIT?
    What are Hao He's main research interests?
    Hao He
    Hao He, photo 1
    Hao He, photo 2
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    Location

    Haidian District, Beijing, China