About Me

I’ve recently relocated to Boston, to start a postdoc at MIT. If you’re in the Boston area and are interested in talking about issues or research projects in the general area of algorithmic fairness, data privacy and reconstruction attacks, or redistricting, please feel free to send a message to zschutzman [at] gmail [dot] com.

I’ll be at MIT for the 2022-2023 academic year and will be looking for permanent positions, both within and outside of academia for after that. If you know of any opportunities, please don’t hesitate to reach out.

At MIT, I am a Michael Hammer Postdoctoral Fellow in the Institute for Data, Systems, and Society with an appointment in the Schwartzman College of Computing’s intiative for Social and Ethical Responsibilities of Computing.

My work examines social considerations of algorithmic outputs in a variety of contexts, including how differentially private census statistics might offer different levels of privacy protection for members of different demographic groups, the design of consumer financial products which can fairly serve customers with diverse risk tolerances, and the effects of using automated procedures to draw electoral districts on the representativeness of the elected slate of candidates. Other work has examined algortihmic fairness, game theory and strategic behavior, and mathematical optimization.

I recently completed my PhD in the CIS Department at the University of Pennsylvania, advised by Aaron Roth. At Penn, I was affiliated with the CS Theory Research Group, the Warren Center for Network & Data Sciences, and the Penn Research in Machine Learning (PRiML) group.

I have also worked with the Metric Geometry and Gerrymandering Group at MIT and Tufts and was on the faculty for their 2019 Voting Rights Data Institute summer program.

Before Penn, I was an undergrad at Colby College in beautiful Waterville, Maine. I graduated with a double major in mathematics and economics and a computer science minor.