I’m Mary, currently an applied math PhD student focusing on the mathematics of machine learning with Professor Cengiz Pehlevan.
I’ve enjoyed working in a wide range of applied math research areas, from early-universe cosmology to group theory to ML4Physics. During my PhD, I’m interested in describing the emergence of neural network properties from complex interactions between operations, particularly in the context of structured data and tasks.
I’m always happy to discuss my work and related topics, please reach out! I’m also on github and X.
PhD in Applied Mathematics, 2023 - Present
Harvard University, School of Engineering and Applied Sciences
MSc in Theoretical Physics, 2022 - 2023
Perimeter Institute for Theoretical Physics
BA in Mathematics, 2018 - 2022
University of Cambridge, St Johns College
[Summer 2024] Gave a talk about in-context-learning at the Kempner Institute, and presented posters at DIMACS Modelling Randomness workshop and Princeton ML Theory Summer School.
[July 2023] Started a summer research internship at Mila with Prof Siamak Ravanbakhsh.
[June 2023] Defended my master’s thesis! (here’s the working draft).