Hi, I’m Clark Miyamoto!

I’m a first year PhD student at New York University’s Center for Data Science, advised by Eric Vanden-Eijnden & Joan Bruna. My research focuses on leveraging generative models for scientific problems, particularly sampling and inverse problems, with a broader interest in computational statistics.

Before data science, I studied Physics. I transfered from the Physics PhD at NYU, and did my B.S. at the University of Southern California where I designed superconducting qubits under Eli Levenson-Falk.