ASSET Seminar: “Title TBD”

Ellen Vitercik is an Assistant Professor at Stanford with a joint appointment between the Management Science and 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. She is particularly excited about how machine learning can be used for discrete optimization and algorithmic reasoning (see the class she’s taught on the subject).

Before joining Stanford, Ellen was a Miller fellow at UC Berkeley, hosted by Michael Jordan and Jennifer Chayes. She received a PhD in Computer Science from Carnegie Mellon University, where she was advised by Nina Balcan and Tuomas Sandholm.

Ellen’s research has been recognized by a Schmidt Sciences AI2050 Early Career Fellowship and an NSF CAREER award. Her thesis won the SIGecom Doctoral Dissertation Award, the CMU School of Computer Science Distinguished Dissertation Award, and the Honorable Mention Victor Lesser Distinguished Dissertation Award.