Drew T Nguyen

I am a PhD student in the Department of Statistics at UC Berkeley, gratefully advised by Will Fithian and Mike Jordan. I’m supported by the NSF GRFP and the Berkeley Chancellor’s fellowship.

My work balances methodology and theory, in multiple testing, inference for black-box AI predictions, and more recently the interplay between economics and statistics.

In the past: I did undergrad at UC San Diego in physics and math, and I’m originally from East San Jose, California—land of burritos and banh mi. Stop by if you’re in town!

You can contact me at drew.t.nguyen[at]berkeley[dot]edu.

PhD Papers

  • Controlling the false discovery rate under a non-parametric graphical dependence model.
    Drew T. Nguyen and William Fithian.
    arXiv:2506.24126 [stat.ME], June 2025.
    Major Revision in the Annals of Statistics. [arXiv]

  • Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction.
    Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, and Michael I. Jordan.
    arXiv:2403.19605 [stat.ME], March 2024.
    [arXiv]

Pre-PhD

  • Post-release survival and prolonged sublethal effects of capture and barotrauma on deep-dwelling rockfishes (genus Sebastes): implications for fish management and conservation
    Nicholas C. Wegner, Elan J. Portner, Drew T. Nguyen, Lyall Bellquist, Andrew P. Nosal, Alena L. Pribyl, Kevin L. Stierhoff, Paul Fischer, Ken Franke, Russell D. Vetter, Philip A. Hastings, Brice X. Semmens, John R. Hyde
    ICES Journal of Marine Science 78(9):3230–3244, Sept 2021.
    Journal · PDF

  • Characterizations of infinitesimal bi-free probability with extensions to type B Ian Charlesworth, Amy Li, Kyle Meyer, Drew T. Nguyen, Jennifer Pi, and Anna Raichev Unpublished Note, August 2018 PDF