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About Me
About Me
I am a fourth year PhD student at Stanford University, advised by Sourav Chatterjee and Andrea Montanari. I'm also partially funded by a National Science Foundation (NSF) Graduate Fellowship. I finished my undergraduate studies in mathematics and physics at UC San Diego.
Most of my recent work is in machine learning, formalization, and automated theorem proving. My mathematical interests lie in probability theory and its applications to high-dimensional statistics and mathematical physics (mostly quantum field theory), and in my free time I enjoy weightlifting, traveling, and basketball.
In summer 2026 I am working at AletheAI.
Contact: I can be reached at fredr (at) stanford (dot) edu.
Preprints and Publications
Gaussian Limits of Lattice Higgs Models with Complete Symmetry Breaking (with Oren Yakir and Yanxin Zhou). [arXiv]
Fluctuations of Eigenvalues for Generalized Patterned Gaussian Random Matrices. [arXiv]
Numerical Evidence of Exponential Mixing by Alternating Shear Flows (with Li-Tien Cheng, Kin Yau James Wong, and Andrej Zlatoš). Communications in Mathematical Sciences, Volume 21(2), 2023, pages 529-541. [arXiv] [Journal]
Set Partition Patterns and the Dimension Index (with Thomas Grubb). The Australasian Journal of Combinatorics, Volume 84(2), 2022, pages 275–296. [arXiv] [Journal]
Teaching
Stanford
Course Assistant
Fall 2023: Math 159, Discrete Probabilistic Methods
Spring 2024: Math 158/CME 298, Probability and Stochastic Differential Equations for Applications
UCSD
Teaching Assistant
Winter 2023: Math 18, Linear Algebra
Spring 2022: Math 10C, Calculus III
Winter 2022: Math 18, Linear Algebra
Fall 2021: Math 10A, Calculus I
Winter 2021: Math 18, Linear Algeba
Fall 2020: Math 10A, Calculus I
Grader
Winter 2022: Math 100B, Honors Abstract Algebra
Spring 2021: Math 140B, Honors Real Analysis
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