Hi! I am a fifth year applied mathematics PhD candidate at UCLA, working with Professor Hayden Schaeffer. My research is on machine learning techniques for approximating solutions of PDEs and SDEs. In particular, my projects include random feature methods for operator learning, measure-valued neural networks for learning McKean-Vlasov dynamics, data assimilation, and memorization in diffusion models.
Office: MS 6147
Email: tracy [at] math [dot] ucla [dot] edu