Dr. Yejin Kim

To Bridge the Gap Between Artificial Intelligence and the Real World Healthcare Challenges

Our group’s long-term vision is to bridge the gap between artificial intelligence (AI) and human health. We advance machine learning to address real-world health challenge. Our research focuses on developing human-centered machine learning models that recognize patterns among diseases and develop therapies.

We are recruiting highly motivated Ph.D students and Postdoctoral fellow. See details!

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Latest News

  • Dec 2024: So honored to be featured in UTHealth Insider news.
  • Oct 2024: Awarded NIH Research Project Grant R01 as PI ($3.9M for five years) for data-driven disease subtyping for Alzheimer’s disease.
  • Oct 2024: Gave a talk “AI for Computational Phenotyping and Predicting Accelerated Aging” at UTHealth Houston Neuroscience Research Center and Aging Research Symposium.
  • Jan 2024: Gave a talk “AI/ML to Identify Personalized Treatment Effect from Data” at Artificial Intelligence in Biomedicine and Healthcare Workshop by McWilliams School of Biomedical Informatics, UTHealth Houston.
  • Nov 2023: Awarded NIH Research Project Grant R01 as PI ($4M for five years) on federated learning for multiple clinical data.
  • Aug 2023: Our work, CancerGPT, was invited for a talk at PathAI.
  • May 2023: Gave an invited talk at The Web Conference 2023 Health Day.
  • Mar 2023: Gave an invited talk at BERD Core, UTHealth McGovern Medical School, and Data Science Core at SBMI.
  • Mar 2023: Honored to serve as a grant review panelist for United Kingdom Research and Innovation.
  • Nov 2022: Served as a grant review panelist for AI in Healthcare (Fonds de recherche du Québec & Ministry of Innovation, Science & Technology - Israel).
  • Nov 2022: Gave a talk at AI in Health Conference, organized by Rice Ken Kennedy Institute.
  • Sep 2022: Our vaccine and Alzheimer’s study was invited to testify before the U.S. Department of Health & Human Services.
  • Jan 2021: Top 10% most cited PLoS One article in 2016 paper.
  • Jul 2020: Selected as an AAIC 2020 Highlighted Poster.
  • Jul 2020: Our team’s vaccine and Alzheimer’s study was covered by NPR, CNN, and ScienceDaily.
  • Apr 2020: Ranked 2nd in the International DREAM Challenge for Drug Repurposing.
  • Jan 2020: Served as a grant review panelist for Luxembourg National Science Foundation.
  • Nov 2020: Gave a talk at AI in Health Conference, organized by Rice Ken Kennedy Institute.
  • Sep 2019: Initiated the SBMI Datathon Series as an organizer.
  • Sep 2019: Awarded Robert Wood Johnson Foundation Health Data 4 Action grant as PI.

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