“Complexity-Theoretic Implications of Multicalibration” accepted to STOC’24; awarded Harvard’s Captain Jonathan Fay Prize (top 3 theses); featured in Quanta Magazine
“How Global Calibration Strengthens Multiaccuracy” accepted to FOCS’25
“Selective Omniprediction & Fair Abstention” accepted to NeurIPS’25 (Spotlight)
“Reconciling Predictive Multiplicity in Practice” accepted to FAccT’25
“Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It” accepted to CCS’22
“SoK: Oblivious Pseudorandom Functions” accepted to EuroS&P’22 (Distinguished Paper Award Finalist)
Knight-Hennessy Scholar
Global Rhodes Scholar
Research Experience
Intern at the Max Planck Institute for Intelligent Systems (Jul–Oct 2024), supervised by Prof. Moritz Hardt
University of Oxford, Department of Computer Science (Oct 2023 – Aug 2025), supervisor: Prof. Varun Kanade
Harvard University, Department of Computer Science (Jun 2022 – May 2023), supervisors: Prof. Cynthia Dwork & Prof. Salil Vadhan
OpenDP (Jun 2021 – May 2022), supervisor: Prof. Salil Vadhan
IBM Research Zurich (Jan–May 2021), supervisor: Dr. Julia Hesse
ETH Zurich, Department of Computer Science (Jun–Dec 2020), supervisor: Prof. Rasmus Kyng
Harvard Radcliffe Institute (Sep 2019 – May 2020), supervisor: Prof. Damián Blasi
Imperial College London, Department of Mathematics (Jun–Aug 2019), supervisor: Prof. Seth Flaxman