Hamsa Bastani is an Assistant Professor in Operations, Information and Decisions at the Wharton School. Her research seeks to leverage data-driven techniques to improve quality of care and reduce costs in healthcare. She has developed efficient machine learning algorithms for personalized medicine, and designed pay-for-performance contracts that better align provider incentives with patient needs. She focuses on novel methods that cater to the many practical challenges in healthcare systems, including the high-dimensionality of electronic medical records, the ethical concerns of randomized decision-making on patients, and the unobservable biases that pervade healthcare claims data.
Prof. Bastani completed her undergraduate and master's degrees at Harvard University, her PhD at Stanford university, and a Herman Goldstine postdoctoral fellowship at IBM Research. Her work has won several awards, including the INFORMS Pierskalla prize for the best paper in healthcare.