Hamsa Bastani is a visiting scholar in Operations, Information and Decisions at the Wharton School, where she will be starting as an Assistant Professor in the Fall of 2018.
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.
Dr. Bastani completed her undergraduate and master’s degrees at Harvard University, her PhD at Stanford university, and is currently pursuing the Herman Goldstine postdoctoral fellowship at IBM Research.