Bio

My research focuses on developing novel machine learning algorithms for data-driven decision-making, with applications to healthcare operations, revenue management, and social good. Recently, I've been working on the design and application of transfer learning algorithms, e.g., for predictive analytics with small data, dynamic pricing across related products, and speeding up clinical trials with surrogate outcomes. I am also interested in algorithmic accountability and using big data to combat social and environmental harm.