Andrew Hillis a PhD candidate at the Harvard Economics Department and Harvard Business School. His research uses machine learning, field experiments, and insights from behavioral economics to study productivity and innovation, particularly in healthcare.
His research has been published in the American Economic Review: Papers & Proceedings and the Harvard Business Review. One project has examined the productivity gains associated with data-driven hiring for teachers and police officers. Another explores the use of open tournaments in city government to source algorithms for targeting hygiene inspection violations from public data. He has collaborated with Yelp and the City of Boston and is passionate about working with organizations to produce relevant and rigorous research.