Hi, I’m Clark Miyamoto!

I’m an incoming 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.

What I’m up to:

• August 2025:
  • I’ll be attending the Princeton Machine Learning Theory Summer School
  • I’ll be attending IAIFI’s Summer School
• June 2025: I’ll be at The Beg Rohu Summer School of Physics: Learning with Machines, Physics, and Minds. This will be my first summer school of my PhD & my first time in Europe. Notes: [pdf] [raw]