I am broadly interested in machine learning methods that are theoretically motivated and have applications in materials science. Currently, my work focuses on symmetry groups and Fourier representations in machine learning. Prior to starting my PhD, I completed my bachelor’s degree at MIT, where I worked on ML fairness research with Professor Devavrat Shah.