honors
Shapiro Prize for Academic Excellence (top 3% of Princeton underclassmen)
Tau Beta Pi (Engineering Honor Society, early inductee)
Princeton Machine Learning Theory Summer School (Aug 2026)
Neo Scholar Finalist
ICLR 2026 Gen² Workshop Student Travel Grant
computer science
COS 126 Introduction to Computer Science — taught by Kevin Wayne
COS 217 Programming Systems — taught by JP Singh, Christopher Moretti, Kevin Negy
COS 226 Data Structures & Algorithms — taught by Gillat Kol, Pedro Paredes, Mark Braverman
COS 350 Ethics of Computing — taught by Aleksandra Korolova
COS 417‡ Operating Systems — taught by Mae Milano, Kevin Negy
COS 423 Theory of Algorithms — taught by Robert Tarjan
COS 484 Natural Language Processing — taught by Danqi Chen, Tri Dao, Vikram Ramaswamy
COS 486‡ Brain Emulation — taught by Sebastian Seung
COS 487 Theory of Computation — taught by Gillat Kol
COS 511*‡ Theoretical Machine Learning — taught by Elad Hazan
COS 522* Computational Complexity — taught by Gillat Kol
COS 568*‡ Systems and Machine Learning — taught by Kai Li
COS 585* Information Theory and Applications — taught by Ran Raz
COS 598A* AI Safety & Alignment [sat-in] — taught by Peter Henderson
COS 598B* Machine Behavior — taught by Manoel Horta Ribeiro
ECE 346‡ Intelligent Robotic Systems — taught by Jaime Fernandez Fisac
ECE 524* Foundations of Reinforcement Learning — taught by Chi Jin
mathematics
MAT 215 Real Analysis — taught by Samuel Pérez-Ayala, Charles Fefferman
MAT 217 Honors Linear Algebra — taught by Jakub Witaszek
MAT 321 Numerical Analysis & Scientific Computing — taught by Marc Aurèle Gilles
MAT 322 Honors Differential Equations — taught by Hans Emil Oscar Mickelin
MAT 345 Abstract Algebra — taught by Jakub Witaszek
ORF 309 Probability and Stochastic Systems — taught by Mark Cerenzia
APC 588* Tensor Calculus — taught by Jeroen Tromp
notable science & humanities
NEU 437* Systems Neuroscience — taught by Carlos Brody
PHY 105 Advanced Physics: Mechanics — taught by Waseem Bakr
ECO 363 Corporate Finance & Financial Institutions — taught by Ernest Liu
PER 302 Advanced Persian Reading I — taught by Amineh Mahallati
teaching
MAT 217 Honors Linear Algebra — S25
COS 226 Data Structures & Algorithms — S25, F25, S26
COS 484 Natural Language Processing — S26