Hillel Governing Board
Organize events and advocate for the Jewish graduate student community at Michigan, check it out here.
Mathematics DRP
Work with undergraduates on graduate-level math in an encouraging environment. Work with committee members to match mentors, process applications, and organize presentations for ∼20 people. Take a look here to see our website! In my undergraduate career at UVA, I worked with Professor Sara Maloni and others to start UVA's first DRP.
Jewish Book Club
Accidental founder of the Jewish Book Club at Michigan.
Professional Experiences
Participant, Financial Analytics: Networks, Learning, and High Performance Computing, Gran Sasso Institute for Advanced Studies, Laquilla, Italy, 2022.
Participant and data science capstone project first prize winner, The Erdos Institute's Data Science Bootcamp, 2022.
Participant, Machine Learning and Mean Field Games, Institute for Mathematical and Statistical Innovation, Chicago, USA, 2022.
Participant, Mean Field Games and Applications, Institute for Mathematical and Statistical Innovation, Chicago, USA, 2021.
Past Talks
A Mean Field Game Application of the Deep Galerkin Method
Theory and Practice of Deep Learning, 2023.
Based on joint work with Asaf Cohen and Mathieu Laurière.
Mean Field Equilibria
Analysis Seminar, 2022.
Based on joint work with Asaf Cohen.
Analysis of the Finite State Ergodic Master Equation
INFORMS Conference Indianapolis, 2022.
Based on joint work with Asaf Cohen.
prelim_slides__3_.pdfThe Convergence Problem for Finite State Mean Field Games
Financial and Actuarial Mathematics Seminar, 2021.
Based on joint work with Asaf Cohen.
Self-Play Compatibility in Multi-Agent Learning
Reinforcement Learning Seminar Course, 2021.
Based on joint expository work with Anthony DiGiovanni.
self_play_slides.pdfstochastic_graphon_games_v3.pdfStochastic Graphon Games I: The Static Case
Probability Course Seminar, 2020.
Based on a publication by Rene Carmona, Daniel B. Cooney, Christy V. Graves, and Mathieu Lauriere.
Other talks:
Presented the paper: On the Global Convergence for Gradient Descent for Over-parameterized Models Using Optimal Transport by Chizat and Bach. Theory and Practice of Deep Learning. 2023.
Random Tilings, Gelfand-Tsetlin Schemes, and their relationship to basic Representation Theory. UVA Colloquium. 2019.
Random Growth. UVA Math Club. With Eric Keener, Cedric Harper, and Fernanda Yepez-Lopez. 2019.
The Space BMO and the John-Nirenberg Inequality. PDE Lecture. 2018.