My research focuses on understanding the causal impact of major marketing policies with machine learning methods. I am particularly interested in the regulatory implications of marketing actions in a variety of healthcare contexts including physician targeting and information disclosure. My interests also extend to consumer relationship management and loyalty programs. In a broad sense, the goal of my research is to inform marketing and policy decision making by combining state-of-the-art machine learning methods with causal identification using natural and quasi-experiments.
I'm an Advanced Open Water diver, a high altitude trekker, and an experienced clarinetist.