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Hamsa Bastani is an Associate Professor in the Operations, Information, and Decisions Department at the Wharton School, University of Pennsylvania. His research primarily revolves around the development of novel machine learning algorithms aimed at enhancing data-driven decision-making within various applications, particularly in healthcare operations, social good, and revenue management. Bastani’s work has earned several accolades, including the Wagner Prize for Excellence in Practice in 2021 and multiple Pierskalla Awards for his contributions to healthcare. He completed his PhD at Stanford University and subsequently served as a Herman Goldstine Postdoctoral Fellow at IBM Research. Bastani's research intersects various domains, evidenced by his involvement in projects addressing complex challenges like pharmaceutical supply chain optimizations in low- and middle-income countries and enhancing clinical trial designs through adaptive methodologies. A pioneer in applying machine learning to real-world problems, his insights contribute significantly to developing sustainable operations practices. Bastani emphasizes transparency in algorithms to bolster trust among policymakers and public health officials during global crises.
University of Pennsylvania • Philadelphia, PA
Research and teaching in the field of operations, information, and decision-making, with a focus on machine learning applications and healthcare operations.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.