I am a Ph.D. candidate in Computational Applied Mathematics at Stony Brook University. I work on multiscale modeling, with an emphasis on ultra coarse graining and generative backmapping. My research aims to accelerate and facilitate molecular dynamics simulations.
Short Bio
Ph.D. candidate in Computational Applied Mathematics at Stony Brook University, with a B.S. in Mathematics and Physics from Grinnell College. Besides my main research topics, I am interested in high-performance computing, scientific software development, finance, and LLMs.
Education
- Stony Brook University — Ph.D. in Computational Applied Mathematics (2022–2027 expected)
- Grinnell College — B.A. in Mathematics and Physics (2018–2022)
Industry Experience
- Simons Foundation — Software Engineering Intern (May - August 2025)