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I am currently a Bernoulli Instructor in the Institute of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL). My research interests include mathematical statistics, theoretical machine learning and econometrics.

Starting in the fall of 2026 I will be joining the Department of Statistics at the University of Wisconsin-Madison as an Assistant Professor.

In 2024 I obtained my PhD from the Operations Research & Financial Engineering (ORFE) department at Princeton University where I was advised by Matias Cattaneo. My dissertation was titled Adaptive Nonparametric Statistical Theory and Implementation. I also received my incidental MA in ORFE from Princeton in 2021.

Prior to this, I completed my Bachelors of Science with Honors in Applied Mathematics and Economics at Brown University in 2019. I wrote my undergraduate honors thesis on Energy Aware Optimization of Scalable Load Balancing Strategies under the supervision of Kavita Ramanan.

Honors and Awards

  • Invited paper for Annals of Statistics session, Joint Statistical Meetings, 2025.
    • Paper: “Convergence Rates of Oblique Regression Trees for Flexible Function Libraries”
  • EPFL Bernoulli Instructorship, 2024 - 2026
  • Princeton School of Engineering and Applied Science Travel Grant, 2023
  • Finalist for Jane Street Graduate Research Fellowship, 2023
  • Princeton School of Engineering and Applied Science Award for Excellence, 2022

CV

My CV is available here.