Dr. Yu-Han Chiu’s research focuses on developing and applying novel causal inference methods to inform decisions, with a substantive focus on pregnancy and cardiovascular health. The lab’s work addresses the limited transportability of inference in randomized trials as well as the complexities arising from compound treatment, time-varying confounding, competing events, missing data, and model misspecification when using observational data to draw causal inferences. These challenges motivate her methodological research in the following areas: (1) The target trial framework to study the health effects of dietary strategies (using large longitudinal cohorts) and treatment safety in pregnancy (using real-world data); (2) Methods for synthesizing evidence from multiple data sources (trials or observational studies) and extending inference to a new target population of interest.