I am an Assistant Professor at Stanford with a joint appointment between the Management Science and Engineering department and the Computer Science department.

My research revolves around machine learning theory, algorithm design, and the interface between economics and computation. I am particularly excited about how machine learning can be used for discrete optimization and algorithm design. Here is a tutorial I gave on the subject at AAAI 2024. I will also teach a course on the subject in Spring 2024. If you are a student at Stanford, please consider enrolling!

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

My research has been recognized by an NSF CAREER award. My 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.

I pronounce my last name VIH-ter-sik.