Awarded the NSF CAREER Award for 'Multidimensional Utility Maximization when Ordeals are Payments'.
Spotlight paper 'Multidimensional Bayesian Utility Maximization' accepted at NeurIPS 2025.
Paper 'Bilateral Trade with Interdependent Values: Information vs. Approximation' accepted at EC 2025.
FOCS 2023 paper 'A Constant Approximation for Private Interdependent Valuations' featured at Highlights Beyond EC 2024.
Presented two papers at SAGT 2024: 'To Regulate or Not to Regulate' and 'Non-Adaptive Matroid Prophet Inequalities'.
Organized the inaugural BEACH Day workshop on April 4, 2025.
Gave talks at the SLMath/MSRI Program on the Mathematics and Computer Science of Market and Mechanism Design in September 2024.
Background
Shibulal Family Career Development Assistant Professor at the Faculty of Computing & Data Sciences, Boston University; affiliated with Computer Science and member of the Algorithms & Theory group.
Primary research interests in algorithmic mechanism design and approximation algorithms, especially using these techniques to improve access to rights and opportunities or mitigate global harms.
Co-founded the Mechanism Design for Social Good initiative.
Interested in intersections with healthcare, climate change, law, AI ethics, as well as foundational topics like revenue maximization and behavioral/informational assumptions.
Founder and Director of BEACH (Behavioral Models in EconCS).