Ph.D., New York University · Representation Learning, Scaling Laws, and High-Dimensional Learning Dynamics
I study nonlinear representation dynamics in large language models, focusing on how nonlinearities, architecture, and optimization jointly shape representational geometry, scaling behavior, and usable computational capacity.