ECGI 2025

Chara Podimata is a 1942 Career Development Assistant Professor of Operations Research and Statistics at MIT. Her research focuses on incentive-aware ML and more broadly on social computing both from a theoretical and a practical standpoint. Her research is supported by an Amazon Research Award (2024), a Google Research Scholar award (2025), and the MacArthur foundation through an x-grant.  She got her PhD from Harvard CS. In her free time, she runs, gardens, crochets, and spends time with her pup, Terra. 

Jessica Hullman is Ginni Rometty Professor of Computer Science and a Faculty Fellow at the Institute for Policy Research at Northwestern University. Her research develops theoretical frameworks and interface tools for helping people combine their knowledge with statistical models. Her work draws on foundation models of decision-making under uncertainty such as Bayesian decision theory while addressing real world applied problems at the interface between humans and statistical models. Hullman’s work has been awarded multiple best paper and honorable mention awards at conferences, a Microsoft Faculty Fellowship, and an NSF CAREER award, among others.

Ellen Vitercik is an Assistant Professor at Stanford University with a joint appointment between the Management Science & Engineering department and the Computer Science department. Her research interests include machine learning, algorithm design, discrete and combinatorial optimization, and the interface between economics and computation. Before joining Stanford, she spent a year as a Miller Postdoctoral Fellow at UC Berkeley and received a PhD in Computer Science from Carnegie Mellon University. Her research has been recognized with a Schmidt Sciences AI2050 Early Career Fellowship, an NSF CAREER award, the SIGecom Doctoral Dissertation Award, and the CMU School of Computer Science Distinguished Dissertation Award, among other honors.