He has conducted research on causal inference, machine learning, experimental design, and has worked on applications across the social sciences, including political science, economics, and epidemiology. His current research focuses on developing interpretable and credible machine learning methods for estimating causal relationships. He has extensive industry experience. Research Interests: Research Interests: Causal Inference, Machine Learning, Applied Statistics, Social Sciences