Hello there! I'm Mary, and I am a PhD student in Applied Mathematics at Harvard advised by Professor Cengiz Pehlevan. I am fortunate to be supported by the Kempner Fellowship.
My main interest is in deep learning theory, and I'm currently working on in-context learning.
Publications + Preprints
Under Submission at ICLR 2026
Pretrain-Test Task Alignment Governs Generalization in In-Context Learning
Under Submission at ICLR 2026
Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
Proceedings of the National Academy of Sciences, 2025
Asymptotic theory of in-context learning by linear attention
Physics Review D, 2024
Quantum initial conditions for curved inflating universes
Master’s Thesis, 2023
Discrete Symmetry in Lorentzian Spaces