Regular biography
Jason Gaitonde is an Assistant Professor in the Decision Sciences area at Duke University's Fuqua School of Business. Dr. Gaitonde received his Ph.D. in Computer Science from Cornell University. His research focuses on the interplay between algorithms, game theory, networks, and machine learning in strategic settings.
Scholar-generated biography
Jason Gaitonde is a researcher at the Fuqua School of Business, Duke University, specializing in theoretical computer science, statistics, and game theory. His work explores the intersection of these fields, focusing on strategic interactions, learning dynamics, and algorithmic robustness. Key areas include adversarial perturbations in opinion dynamics, strategic queuing systems, and learning Ising models from dynamics. His research also addresses regret and efficiency in repeated auctions, stability in networked systems, and the algorithmic properties of Markov chains. Gaitonde's contributions span both theoretical and applied aspects, emphasizing the interplay between computational models and real-world phenomena.