William Brown



I'm a third-year Computer Science PhD student at Columbia, where I'm incredibly fortunate to be advised by Christos Papadimitriou and Tim Roughgarden in the Theory group. I'm also a research intern at Amazon Web Services. Previously, I graduated from Penn in 2019 with an MS in Data Science and a BS in Computer Science and Philosophy, where I worked with Aaron Roth and Michael Kearns, and have spent a few summers in research, software engineering, and data science roles at Two Sigma, MongoDB, and American Family Insurance. I'm broadly interested in researching theoretical questions related to interactions between humans and technology. In particular, I enjoy problems related to algorithmic game theory, reinforcement learning, algorithmic ethics, and social networks.


  • Learning in Multi-Player Stochastic Games.
    William Brown.
    To appear at UAI 2021.
  • Differentially Private Query Release Through Adaptive Projection.
    Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva.
    To appear at ICML 2021 (Long presentation). [arXiv]
  • Targeted Intervention in Random Graphs.
    William Brown, Utkarsh Patange.
    SAGT 2020. [arXiv]
  • Change Point Detection in Software Performance Testing.
    David Daly, William Brown, Henrik Ingo, Jim O'Leary, David Bradford.
    ICPE 2020. [arXiv]


At Columbia:
  • Teaching Assistant - COMS 6998-001: Foundations of Blockchains (Fall 2020)
At Penn: