Published several pre-prints such as 'Exclusion Zones of Instant Runoff Voting', 'The illusion of households as entities in social networks', 'Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference'. Additionally, has multiple formal publications.
Research Experience
Associate Professor at Yale University's Department of Statistics & Data Science since July 2025. Also serves as Deputy Director of the Yale Institute for Foundations of Data Science (FDS) and Faculty Fellow at the Center for Algorithms, Data, and Market Design at Yale (CADMY). Previously, he was on the faculty at Stanford for ten years (2015 to 2025), as an Assistant Professor and (from June 2022) tenured Associate Professor, in the Department of Management Science & Engineering (MS&E).
Education
Ph.D. in Applied Mathematics from Cornell University in 2014, advised by Jon Kleinberg. Also holds degrees from the University of Cambridge and Lund University; attended Deep Springs College. Affiliated with the Facebook Data Science team from 2010-14. Post-doctoral researcher at Microsoft Research from 2014-15, hosted by Eric Horvitz.
Background
Research Interests: social networks, human behavior, and their interplay. Part of the work is empirical, aiming to advance our understanding of important social systems and processes; the other part is methodological, developing tools to do so more efficiently and effectively. Leveraging unique measurement opportunities created by the internet and digitization over the last two decades, making it possible to study social and individual behavior in previously unprecedented ways.
Miscellany
Personal interests include mountaineering, published extra-professional research in the 2016 American Alpine Journal.