Sukanya is a PhD candidate in the Department of Industrial Engineering and Operations Research (IEOR) at UC Berkeley. Her research lies at the intersection of microeconomics and operations research, focusing on the design of incentives and equilibrium analysis to align the actions and decisions of both people and algorithms with societal welfare. She aims to ensure that these systems promote fairness, privacy, and efficiency in real-world contexts. Additionally, she has developed optimization algorithms to address challenging NP-Hard problems. Outside of her academic work, she enjoys reading, spending time in parks, and exploring the city on foot.
Sukanya Kudva
