Zach Schutzman

Hammer Postdoctoral Fellow, IDSS

Zach is a Michael Hammer Postdoctoral Fellow in IDSS with an appointment in SERC in the College of Computing. His research focuses on issues at the interface of computing and society from the algorithmic perspective, including work on designing algorithms that meet definitions of fairness, mathematical models of data privacy, and the application of computational and data-driven tools to electoral redistricting.

Zach recently earned his PhD in Computer and Information Science at the University of Pennsylvania, advised by Aaron Roth. Prior to that, he earned a BA in Economics and Mathematics from Colby College.