Selected publications include 'Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws' and more.
Research Experience
Faculty Fellow at the Center for Data Science, New York University, and the Flatiron Institute.
Education
Ph.D. in Computer Science from the University of Toronto, supervised by Jimmy Ba and Murat A. Erdogdu; B.S. from Carnegie Mellon University, advised by Ruslan Salakhutdinov.
Background
Research Interests: Developing a theoretical understanding (e.g., optimization and generalization) of modern machine learning systems such as neural networks, using tools from high-dimensional statistics. Professional Field: Data Science, Computational Mathematics.