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:
- AI-driven modeling of health outcomes and disease progression
- Fair machine learning with real-world data (RWD) to advance health equity
- Multimodal data (e.g., physiological signals, EHRs, medical imaging) modeling and analysis
- 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
- [2026] Our study, “Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling,” accepted at ICLR 2026.
- [2026] Our study, “Identifying Alzheimer’s Disease Progression Subphenotypes via a Graph-based Framework using Electronic Health Records,” published in Journal of Healthcare Informatics Research.
- [2025] Our study, “From Image to Report: Automating Lung Cancer Screening Interpretation and Reporting with Vision-Language Models,” published in Journal of Biomedical Informatics.
- [2025] Our study, “Optimizing Strategy for Lung Cancer Screening: From Risk Prediction to Clinical Decision Support,” published in JCO Clinical Cancer Informatics.
- [2025] I received a Catalyst Award from the National Academy of Medicine.
- [2025] I received Pilot Funding from IU Lab.
- [2024] I began as an adjunct professor in the Weldon School of Biomedical Engineering at Purdue University.
- [2024] Our study, “A Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes,” published in Nature Communications.