Research
Published papers and preprints
The high line: Exact risk and learning rate curves of stochastic adaptive learning rate algorithms (with I Seroussi, A Mackenzie, B Malaxechebarria, E Paquette, C Paquette), Advances in Neural Information Processing Systems 37 (NeurIPS), 2024.
Free energy of a bipartite spherical SK model at critical temperature (with H Le), Annales Henri Poincare, 2024.
Hitting the high-dimensional notes: an ODE for SGD learning dynanmics on GLMs and multi-index models (with C Paquette, E Paquette, I Seroussi), Information & Inference Journal of IMA, 13(4), 2024.
High-dimensional limit of one-pass SGD on least squares (with E Paquette), Electronic Communications in Probability, 29, 2024.
Edge CLT for the log determinant of Laguerre ensembles (with H Le), Annales de l'Institut Henri Poincare (to appear), 2023.
Spherical spin glass model with external field (with J Baik, P Le Doussal, H Wu), Journal of Statistical Physics, 183(2), 2021.
Overlap of a spherical spin glass model with microscopic external field, Electronic Journal of Probability, 26, 2021.
Invited Talks
Using RMT to understand phase transitions in spherical spin glass
Random Matrices & Scaling Limits, Institut Mittag-Leffler, 2024
High-dimensional dynamics of SGD for generalized linear models
IDEAL Workshop: Statistical Inference / Learning Dynamics, Northwestern University, 2024
Bipartite spherical spin glass at critical temperature
Integrable Probability, Classical and Quantum Integrability, online seminar of CNRS, 2024
Bipartite spherical spin glass at critical temperature
Probability Seminar, Harvard University, 2024
Bipartite spherical spin glass at critical temperature
Probability Seminar, Fields Institute, 2024
High-dimensional limit of streaming SGD for GLMs
Mathematics of Machine Learning, CMS Winter Meeting, 2023
Bipartite spherical spin glass at critical temperature
Probability Seminar, University of Minnesota and Lehigh, 2023
Bipartite spherical spin glass at critical temperature
Probability Seminar, University of Waterloo, 2023
High-dimensional limit of streaming SGD for GLMs
Applied Math Seminar, Centre de Recherches Mathematiques, 2023
Phase transitions in spherical spin glasses
AMS Eastern Sectional, University of Buffalo, 2023
Phase transitions in spherical spin glasses
Great Lakes Mathematical Physics, Oberlin College, 2023
Edge CLT for log determinant of Laguerre beta ensembles
Summer school for random matrix theory and applications, Ohio State University, 2023
Phase transitions in spherical spin glasses
Probability Seminar, Queen's University, 2023
Overlaps of a Spherical Spin Glass Model with External Field
AWM Research Symposium, University of Minnesota, 2022
Overlaps of a Spherical Spin Glass Model with External Field
Introductory and Connections Workshop, MSRI, 2021
Free Energy & Overlaps of Spherical Spin Glass with External Field
AWM Graduate Student Poster Session, JMM 2021
Overlaps of a Spherical Spin Glass Model with External Field
Bernoulli Society & IMS One World Symposium, 2020
Random Matrices
Kalamazoo College, Math Colloquium, 2020
Using Random Matrix Theory to Analyze Spin Glasses
NY Graduate Math Conference, Syracuse University, 2020
Small Norm Matrices and Tensors
Nebraska Conference for Undergraduate Women in Math, 2010
Matrices and Tensors of Small Norm
Ohio State University, Young Mathematicians Conference, 2009
Seminar Talks at home institution
Free energy fluctuations of spherical spin glasses near the critical temperature threshold
Statistics seminar, McGill U., 2024
Detection thresholds in spiked matrix models
Algorithmic spin glass learning seminar, McGill University, 2024
High-dimensional limit of streaming SGD for GLMs
Optimization and ML seminar, McGill U., 2023
Spin Glasses and Random Matrix Theory
Probability Research Retreat, McGill U., 2022
Tridiagonal Random Matrices
Student Analysis Seminar, U. Michigan, 2021
Spin Glasses Across Disciplines
SIAM Mini-Symposium, U. Michigan, 2021
Spherical Spin Glass Model with External Field
Integrable Systems Seminar, U. Michigan, 2020
Rademacher Complexity and Spin Glass
Machine Learning Graduate Seminar, U. Michigan, 2020
Using Random Matrix Theory to Analyze Spin Glasses
Student Analysis Seminar, U. Michigan, 2020
MMS Property of Graphs
Budapest Semesters in Math, Research Colloquium, 2015
Munshi's Theorem: Zero Places and Infinite Spaces
Carleton College, Math & Stat Comps Gala, 2011
Workshops and Summer Schools
Random Matrices and Scaling Limits, Institut Mittag-Leffler, 2024
Frontiers of Statistical Mechanics & Theoretical Computer Science, Banff International Research Station, 2024
Summer School on Random Matrices & Applications, Ohio State University, 2023
Random Matrix Theory Summer School, University of Michigan, 2022
Universality & Integrability in Random Matrix Theory, MSRI (hybrid), 2021
Open Online Probability School, virtual, 2020
Randomness in Physics & Mathematics, Bielefeld University, 2019
Integrable Probability Summer School, University of Virginia, 2019
Geometric Analysis for Women & Math, Institute for Advanced Study, 2019
Random Walks in Random Environments, Texas A&M University, 2018
Probability Summer Analysis Program, Northwestern University, 2018
Random Matrix Theory Summer School, University of Michigan, 2018