I am an Assistant Professor in the Department of Biostatistics and Health Data Science at the Indiana University School of Medicine and an investigator at the Clem McDonald Center for Biomedical Informatics, Regenstrief Institute. My research focuses on several key areas: (1) AI-driven models for health outcome and disease progression research, (2) fair machine learning using real-world data (RWD) to promote health equity, (3) innovative deep learning techniques for temporal and spatial temporal data analysis, and (4) multi-modal data modeling and analysis.

I received my Postdoc training in the Department of Health Outcomes & Biomedical Informatics at University of Florida, working with Prof. Dr. Jiang Bian. I obtained my Ph.D. degree from the Department of Computer Science at National Yang Ming Chiao Tung University in 2022. I am very fortunate to be supervised by Prof. Dr. Vincent S. Tseng and Prof. Dr. Gary G. Yen. My Ph.D. dissertation is “A Study on Early Time Series Classification Methodologies with Applications in Cardiovascular Disease Detection”, examined by Prof. Dr. Ming-Syan Chen, Prof. Dr. Shou-De Lin, Prof. Dr. Hung-Yu Kao, Prof. Dr. Wen-Chih Peng and Prof. Dr. Jiun-Long Huang. Before that, I obtained my bachelor degree from National Kaohsiung First University of Science and Technology.

News

1. Our study entitled “Optimizing Strategy for Lung Cancer Screening: From Risk Prediction to Clinical Decision Support”, has been accepted for publication in JCO Clinical Cancer Informatics.
2. Our study entitled “Glycogen Drives Tumor Initiation and Progression in Lung Adenocarcinoma”, has been accepted for publication in Nature Metabolism.
3. I start as a tenure-track assistant professor in the Department of Biostatistics and Health Data Science, Indiana University, on February 1st!
4. I start as an investigator in the Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, on February 1st!
5. Our AMIA 2024 paper “Assessing the Seasonality of Lab Tests Among Patients with Alzheimer’s Disease and Related Dementias in OneFlorida Data Trust” won the third place of the 2024 KDDM Innovation Award!
6. Our study entitled “Towards a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records”, has been accepted for publication in JCO Clinical Cancer Informatics.
7. Our study entitled “A Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes”, has been accepted for publication in Nature Communications.