Broadly speaking, I research the analysis of partial differential equations, optimal transport, and calculus of variations. I am also interested in variational mean field games that incorporates optimal transport. Additionally, I study kinetic equations. Furthermore, some of my work is in the interface of machine learning with optimal transport.
Journal publications and preprints
A Minimax Bilinear Transport Problem and Nash-Monge-Kantorovich Maps, with Edward Huynh In preparation.
Generative Adversarial Networks: Dynamics, with Matias G. Delgadino, and Bruno B. Suassuna. arxiv.org/abs/2405.18673 (2024) Journal of Machine Learning. Publication, 26(181):1−30, 2025
Regularization estimates for the Landau-Coulomb Diffusion, with Maria Gualdani and Nestor Guillen, preprint arxiv.org/abs/2310.16012 . Nonlinear Analysis, Volume 251, February 2025, 113695.
An optimal transportation principle for interacting paths and congestion*. (2022) arxiv.org/abs/2109.01946.Under review
Presentation: An optimal transport problem with interaction effects (August 2024) (Slides) ( Video )
Talks