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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.

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 Master of Arts 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

  • Maheshwari Vidya Pracharak Mandal (MVPM) 2024 Scholar Award, 2025
  • 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.