Yejin Kim
AI for Healthcare: From Machine Learning Methods to Real-World Biomedical Impact
About
I am a tenured Associate Professor in the Department of Health Data Science and Artificial Intelligence at McWilliams School of Biomedical Informatics, UTHealth Houston, and Associate Director of the Center for Secure Artificial Intelligence for Healthcare.
My research group develops human-centered AI and machine learning methods for real-world healthcare challenges, with current focus areas in disease progression modeling, counterfactual inference, biomedical graph learning, large language models for scientific discovery, and AI-guided therapeutic antibody design.
Full biography and appointments →Latest news
Invited to talk at PEGS 2026 about AI-based antibody design
PEGS 2026 ↗Our team's study on vaccination and Alzheimer's was featured in Viva Longevity channel
Viva Longevity ↗Dr. Kim was promoted to Tenured Associate Professor!
Top Five performers in AIntibody Challenge organized by IQVIA Laboratories with 166 participants from academia, biotech, pharma, and big tech companies.
AIntibody Challenge ↗Gave a tutorial on "AI-guided Antibody Discovery" at PepTalk 2025, San Diego