Yejin Kim, PhD

Associate Professor (tenured)
Associate Director of the Center for Secure Artificial Intelligence for Healthcare
Department of Health Data Science and Artificial Intelligence
McWilliams School of Biomedical Informatics
University of Texas Health Science Center at Houston

7000 Fannin, Suite 600
Houston, Texas 77030
Yejin.Kim@uth.tmc.edu
LinkedIn

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Yejin Kim is a tenured Associate Professor and Associate Director of the Center for Secure Artificial Intelligence for Healthcare in the Department of Health Data Science and Artificial Intelligence. She received her Ph.D. in Applied Machine Learning from Pohang University of Science and Technology (POSTECH), South Korea.

Her research focuses on developing artificial intelligence algorithms for therapy development and biomedical discovery. Her work has advanced the field of biomedical AI through innovative machine learning methods and a strong record of externally funded research. Over the past five years, as principal investigator, she has secured more than $8 million in extramural research funding, including two NIH R01 grants. She has published more than 60 peer-reviewed papers in leading biomedical informatics journals, including npj Digital Medicine, JAMIA, JMIR, Bioinformatics, and the Journal of Biomedical Informatics, as well as premier artificial intelligence and machine learning conferences such as SIGKDD, ACL, and IJCAI.

Beyond her research, she has made substantial contributions to the scientific community through leadership and professional service. She has served on multiple NIH grant review panels and study sections, including CSR CDMA and HSS, and has reviewed research proposals for funding agencies in the United Kingdom, Canada, Israel, and Luxembourg. She serves as an Academic Editor for PLoS Biology, reviews manuscripts for leading journals including Nature Communications and npj Digital Medicine, and has served on the program committees of major AI conferences, including ICLR, NeurIPS, ACL, and AAAI.

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Education and Career

• 2025 - current

  Associate Professor (tenured), Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston

• 2024 - current

  Associate Director, Center for Secure Artificial Intelligence for Healthcare, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston

• 2018 - 2025

  Assistant Professor, Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston

• 2012 - 2017

  Ph.D. in Computer Science, Pohang University of Science and Technology, Pohang, South Korea

• 2008 - 2012

  B.S. in Industrial Engineering (Magna cum laude), Pohang University of Science and Technology, Pohang, South Korea

Membership

• 2019 – current

  Member, Association for Computing Machinery

• 2018 – current

  Member, American Medical Informatics Association (AMIA)

• 2010 – 2017 | Member, National Academy of Engineering of Korea Young Engineer Honor Society

Honor, Awards, and Media Coverage

• 2025	AIntibody Challenge Top Five Performers

• 2025	Selected as the top 10 most cited npj Digital Medicine paper in 2024

• 2023	Public media coverage by Yahoo Finance

• 2022	Public media coverage by CNN, NPR, and ScienceDaily; invited to testify before U.S. Department of Health & Human Service for Alzheimer’s claim data study

• 2021	Selected as the top 10% most cited PLoS One paper in 2016

• 2020| Rank 2nd place (out of 54) in the International DREAM Challenge for Drug Repurposing Competition
• 2020 | Selected as Highlight Poster in Alzheimer’s Disease Association International Conference 2020 Technology and Dementia

• 2020	Microsoft Research Faculty Gift

Grant Review Panels and Study Section

• 2025	NIH CSR Topics in Clinical Data Management, Analysis, Informatics and Digital Health A ZRG1 HSS-R (90)

• 2025	NIH CSR ASPB Analytics and Statistics for Population Research panel B Study Section

• 2024	NIH CSR HSS (Health Services & System) ZRG1 HSS-B (02) M

• 2024	NIH NINDS Team Science COMBINE RM1 Special Panel Review ZNS1 SRB-S (21)

• 2024	NIH CSR MABS (Modeling and Analysis of Biological System) Study Section

• 2023	NIH CSR Clinical Data Management and Analysis Special Emphasis Panel ZRG1 HSS-P

• 2022	UK Research and Innovation, Clinician Scientist Fellowship Referee, United Kingdom

• 2021	Fonds de recherche du Québec, Canada, Ministry of Innovation, Science & Technology - State of Israel

• 2020	Luxembourg National Science Foundation, Industrial Fellowship, Luxembourg

Reviewers and Program Committee

• AI conference: NeurIPS AI for Science (2025-) ICLR (2024- ), KDD (2025- ), AAAI (2019-), ECAI (2025-) EMNLP (2024-), ACL (2024-), IJCAI (2021-), WSDM (2020), ACL Clinical NLP workshop, WWW

• Health Data Science conference: AMIA Informatics Summit (Senior program committee), ICIBM (2024, local co-chair), IEEE ICHI (2020-), IEEE/ACM TCBB (2020-), AMIA Annual Symposium (2019-), IEEE BIBM (2019-), ACM BCB, SBMI Machine Learning Hackathon (organizer)

• Journals: Nature Communications, npj Digital Medicine, PNAS Nexus Bioinformatics, PNAS Nexus, Cell Reports, Briefing in Bioinformatics, JAMA Network Open, J. of Biomedical Informatics, J. Am. Medical Informatics, Scientific Reports

Journal Editors

• Academic Editor for PLoS Biology
• Editorial Board member, BMC Medical Informatics and Decision Making

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