I’m a mathematician and scientific machine learning (SciML) researcher focused on the mathematical foundations of deep learning and machine learning. My research interests are the convergence of gradient flows and stochastic gradient dynamics including optimization dynamics, application of stochastic optimal control theory to ML, and Physics-Informed Neural Networks (PINNs) and (Deep) Reinforcement Learning. For more information see the About Me page. You may also want to browse my publications. I also have profiles at Google Scholar, ResearchGate, Publons and ORCID.
On this cite you can find my short CV, publications and information about my research and teaching.