My research focuses on developing novel statistical methodologies to make business experimentation more rigorous, safer, and efficient, specifically homing in on the application of experimentation to the operationalization of artificial intelligence (AI), the process by which AI products are developed and integrated into real-world applications.

My work has been published in top academic journals such as Annals of Applied Statistics, Biometrika, The Journal of the American Statistical Association, The Journal of Econometrics, Quantitative Economics, Management Science, and Science, and has been cited in Forbes, The New York Times, The Washington Post, and Reuters, among other outlets. More broadly, as one of the few scholars working at the intersection of data science and business, I was the first author to have featured articles spotlighted in both the Harvard Business Review and the Harvard Data Science Review.