I am a mathematician, machine learning researcher, and educator. This site contains pages about my math publications and writings, my explorations of machine learning, and a few quant finance projects.
I currently work as a machine learning scientist and category theorist in the AI sector. A copy of my CV is available upon request by email.
Make the obvious replacements: first-name dot last-name at gmail dot com
Before leaving academia, my research was focused on equivariant neural networks, model compression, parameter space symmetries, and gradient flow dynamics. Previously, I did research in representation theory, algebraic geometry, quantum groups, category theory, and related areas in theoretical mathematics.
I completed a PhD in mathematics at the University of Texas at Austin under the guidance of David Ben-Zvi. Subsequently, I worked at IST Austria, the Weizmann Institute of Science, and Radboud University.
Fall 2022: Deep Learning.
Winter 2020-2021: Algebraic Groups.