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Somya Singhvi is an assistant professor in Data Sciences and Operations. Somya received his Ph.D. in Operations Research from MIT, focusing on improving the design of digital agri-platforms and markets. He earned his BS in Operations Research & Information Engineering from Cornell University, graduating Magna Cum Laude with honors. Before joining USC, he was a postdoctoral fellow at the Center for Global Development.Somya’s work uses a combination of field-based research and analytics to improve the design of digital platforms in developing and emerging markets. He continues to collaborate with government organizations and industry partners to drive impact in practice.
NEWS + EVENTS
"Increasing Charity Donations: A Bandit Learning Approach"
In recent work, Professor Somya Singhvi and his co-author propose a novel approach to maximizing donations on such platforms by developing a recommendation system that overcomes some of the drawbacks of widely used recommender systems.