Huilin Tang, PhD
Postdoctoral Researcher
Postdoctoral Researcher
Huilin Tang, PhD, is a postdoctoral researcher at the Perelman School of Medicine, University of Pennsylvania. He earned his PhD in Pharmaceutical Outcomes and Policy from the University of Florida in 2024. His research centers on pharmacoepidemiology and real-world evidence, with a focus on diabetes and neurodegenerative diseases, aiming to advance precision medicine and support healthy aging.
Dr. Tang integrates large-scale real-world data sources—including electronic health records and insurance claims—with advanced methodologies such as artificial intelligence, machine learning, and causal inference to evaluate the effectiveness, safety, and heterogeneity of treatment effects for pharmaceutical therapies. He has authored more than 100 peer-reviewed publications, with his work featured in leading journals such as Annals of Internal Medicine, JAMA Neurology, Diabetes Care, and Alzheimer’s & Dementia.
Causal Inference, Large-Scale Cohorts, Artificial Intelligence/Machine Learning