I’m a PhD student in the Department of Computer and Information Science at the University of Pennsylvania, advised by Surbhi Goel.
I’m interested in understanding deep learning through mathematical and scientific means.
I did my undergraduate in computer science at Princeton University.
Understanding and Mitigating Role Spoofing in LLMs
EE, Benjamin Edelman, Surbhi Goel, and Eran Malach
Preprint, 2026
Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
Jingwen Liu, EE, Surbhi Goel, and Bingbin Liu
ICML 2026
Reliable Abstention under Adversarial Injections: Tight Lower Bounds and New Upper Bounds
EE and Surbhi Goel
Neurips 2026. Highlight Track Talk at FORC 2026
Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones
Parsa Mirtaheri*, EE*, Samy Jelassi, Eran Malach, and Enric Boix-Adserà
NeurIPS 2025
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
EE*, Nikolaos Tsilivis*, Benjamin Edelman, Eran Malach, Surbhi Goel
NeurIPS 2024 | Blog post