Tetsuto Nagashima

Hi — I’m Tetsuto, an M.S. Computer Science student at the University of Southern California (expected May 2027). My interests sit at the intersection of machine learning, large language models, and scientific computing — I like building systems that translate messy real-world intent into structured, executable behavior, and I’m especially drawn to problems where ML meets the physical sciences.

I’m currently applying to PhD programs starting Fall 2027, and I’m also actively looking for research opportunities and ML engineering roles — full-time or summer 2026 internships. If any of that sounds like a fit, I’d love to get in touch.

Before starting my M.S. CS, I completed an unusual course of study at USC: a B.S. in Physics/Computer Science, a B.A. in Philosophy and Physics, and a concurrent M.S. in Mechanical Engineering — all finished in May 2024. That breadth shapes how I approach research: I’m most at home on problems that reward moving fluidly between formal reasoning, experimental design, and engineering execution.

Most recently, I was a Visiting Member of the Technical Staff at Tetsuwan Scientific in San Francisco, where I prototyped LLM- and vision-based systems for lab automation. Before that, I helped run a machine learning workshop for PhD students and professionals at USC’s AI for Discovery in the Sciences program, built a generative diffusion model from scratch for pedagogy, and worked on astrophysical orbit modeling at the University of Hawaii.

You can find more on my CV, my projects, and occasional writing on the blog.