News

We will organize a minisymposium on 'Measure transport in large population systems' with 2 sessions in SIAM Optimization Conference, 2026

We will organize a minisymposium on 'Bayesian inverse problems: Methods and Applications' with 3 sessions in SIAM Uncertainty Quatification Conference, 2026

Research Interests

My research area focuses on mean field methods and problems in optimal control theory. I am interested in incorporating the capabilities of machine learning for solving challenging analytical problems and use this to inform the exploration of the theoretical foundations of machine learning. My doctoral work studied the intricacies of finite player games and mean field games to provide answers for optimization in a large dynamical system.