Applied Mathematics

Research Interests

My research is primarily about exploring the applications of machine learning to physics and engineering problems, in particular developing neural network-based methods to solve PDEs (e.g. physics-informed neural networks). I am open to learning about and working on projects in adjacent SciML/computational science domains as well.  Outside of my work, I am usually out playing fetch with my dog, lifting heavy objects repeatedly, attempting a new recipe, or falling down some YouTube/Wikipedia rabbit hole.