About Yu

I am an Assistant Professor in the Department of Biostatistics and Health Data Science at the Indiana University School of Medicine; an investigator at the Clem McDonald Center for Biomedical Informatics, Regenstrief Institute; and an adjunct professor in the Weldon School of Biomedical Engineering at Purdue University. My research focuses on: (1) AI-driven modeling of health outcomes and disease progression, (2) fair machine learning with real-world data (RWD) to advance health equity, (3) multimodal data (e.g., physiological signals, EHRs, medical imaging data) modeling and analysis, and (4) health digital twins.

I completed my postdoctoral training in the Department of Health Outcomes & Biomedical Informatics at the University of Florida, working with Prof. Dr. Jiang Bian. I received my Ph.D. in Computer Science from National Yang Ming Chiao Tung University in 2022, co-advised by Prof. Dr. Vincent S. Tseng and Prof. Dr. Gary G. Yen. Previously, I earned my bachelor’s degree from National Kaohsiung First University of Science and Technology.

News

1. I received a Pilot Funding from IU Lab.
2. I will begin as an adjunct professor in the Weldon School of Biomedical Engineering at Purdue University on November 1.
3. I received a Catalyst Award from the National Academy of Medicine.
4. Our study, “Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models,” has been accepted for publication in Journal of Biomedical Informatics.
5. Our study, “Variational Temporal Deconfounder Network for Individualized Treatment Effect Estimation with Longitudinal Observational Data,” has been accepted for publication in Journal of Biomedical Informatics.
6. Our study, “A Fair Machine Learning Model to Predict Flares of Systemic Lupus Erythematosus,” has been accepted for publication in JAMIA Open.