I study computational optimal control of nonlinear dynamical systems under uncertainty. My work involves using machine learning to efficiently build approximations of flow maps and time-dependent probability distributions of high-dimensional nonlinear systems, which are then integrated into the optimization loop. In general, I am interested in computational optimal control, dynamical systems, optimization, machine learning, and aerospace applications.
I graduated from UC Santa Cruz with a double major in pure mathematics and language studies in 2015. Since 2016, I have been working towards a Ph.D. in applied mathematics and statistics, also at UC Santa Cruz.