I am a second 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. My interests lie in probability theory and its applications to high-dimensional statistics and mathematical physics, and in my free time I enjoy weightlifting, traveling, and basketball.
Contact: I can be reached at fredr (at) stanford (dot) edu.
Preprints and Publications
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