Matt L. Sampson

Matt Sampson
Physics for AI
AI for Physics
PhD candidate at Princeton
Hey, I’m Matt, a PhD researcher at Princeton University working with Prof. Peter Melchior. I am studying ways to advance science and machine learning with a particular focus on modelling dynamical systems, representation learning, optimization, and world models. Previously I was at the Australian National University where I performed numerical experiments and helped develop a code to simulate cosmic ray propagation through a dynamically evolving turbulent plasma.
Long-term vision: To create models that deeply understand complex dynamical systems— enabling new discoveries and forming the foundations for increasingly general, physics-inspired intelligence.
news
May 13, 2025 | Lucky to be one of 4 students from Princeton University nominated for the 2025 Google PhD Fellowship! The first nomination from the astrophysical sciences deptartment at Princeton |
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selected publications
- Path-minimizing latent ODEs for improved extrapolation and inferenceMachine Learning: Science and Technology, Jun 2025
- Cosmic ray and plasma coupling for isothermal supersonic turbulence in the magnetized interstellar mediumarXiv e-prints, Jun 2025
- Score-matching neural networks for improved multi-band source separationAstronomy and Computing, Oct 2024
- Spotting Hallucinations in Inverse Problems with Data-Driven PriorsIn ICML ML4Astrophysics Workshop (Oral), Jul 2023