Development of statistical methods in causal inference for observational and randomized controlled trial studies.

Exploring the health effects of environmental exposures and policies via causal inference.

Theoretical and methodological exploration of interpretability and simplicity in machine learning.

Using causal AI to optimize and personalize interventions in medicine and public health to make them more cost effective.