cv
Education
- 2025 (expected)
PhD in Applied Mathematics
Yale University
- Advised by Ronald Coifman and Yuval Kluger.
- 2017
B.S. in Computer Science and Mathematics
Yale University
Experience
- 2023
Machine Learning Research Intern
Bosch Center for Artificial Intelligence
- Researching (1) robust training-free approaches to guided diffusion models using optimal control and (2) image-to-image translation using algebraically reversible solvers for the Schrodinger Bridge problem. Submitted to ICML 2024.
- 2020
Machine Learning Research Intern
Center for Computational Mathematics, Flatiron Institute
- Explored deep image prior-based techniques for enhancing phase retrieval in low-photon settings at the Center for Computational Mathematics (CCM) at Flatiron Institute
- 2016
Software Engineering Intern
Amazon Lab126
- Modified machine learning module (an n-gram Markov model) in FireOS to reduce memory usage by ~2x with no significant reduction in prediction quality