Daniel Tsai is a doctoral research fellow at Population Health Data Center, NCKU. He specializes in comparative effectiveness research and policy research. His expertise includes triangulating claims databases, electronic health records, and biomedical databases to inform causal inference. Additionally, he is actively involved in the intersection of artificial intelligence and geriatric medicine. Moreover, Daniel contributes as an active member to both the Asian Pharmacoepidemiology Network (AsPEN) and the Neurological and Mental Health Global Epidemiology Network (NeuroGEN), where he is deeply involved in fostering research collaborations and advancements in the field.