As a member of the Economics team, Yutian supports the Health, Science, and Technology work pillar by providing technical assistance to the economic research grantees in low- and middle-income countries (LMICs). In addition to conducting economic research and managing ongoing projects, he identifies and works to fill gaps to address policy-relevant research evidence needs.
Yutian is an experienced researcher of health economics, and labor and demographic economics. Prior to joining the Foundation, he was a Research Specialist at Harvard Medical School’s Department of Health Care Policy where he conducted causal inference related research including writing a hybrid Stata package of Stable Balancing Weights (SBW) for causal analysis with Stata and Python. The package allows researchers to model the sample weights maintaining the balance of covariates and minimizing dispersion of the weights simultaneously.
Yutian earned his PhD in Economics at Rutgers University, an MS in Economics at Tufts University, as well as a BS in Economics at Nankai University. He is fluent in English, Mandarin and Cantonese.