Helping modern researchers turn effort into real impact through rigorous methodology, causal inference, and innovative research tools.
I specialize in causal inference and real-world evidence, helping researchers and institutions design studies that actually answer the questions they're asking. Study design comes before statistics. Assumptions precede models.
Department of Preventive Medicine and Public Health, Faculty of Medicine
Building institutional partnerships across USA, UK, Germany, and China
Peer review for leading cardiovascular and oncology journals
"Study design comes before statistics. Assumptions precede models. Methods are not buttons." — My research philosophy