Matt Sampson

PhD candidate

about me

I am currently at Princeton University studying ways to advance science through the use of machine learning with a particular focus on modelling dynamical systems and geometric deep learning. Previously I was at the Australian National University where I performed numerical experiments and helped develop a code to simulate cosmic ray propagation through turbulent plasma. I have also worked as a data scientist/computational statistician in fields of information geometry and biology.

Interests

machine learning
deep learning
neural/latent ODEs
graph neural networks
computational statistics
astrophysics

Education

PhD astrophysics and machine learning
Princeton University
MA Astrophysics and Machine Learning
Princeton University
BHons Computational Astrohysics
Australian National University
BSc Computational Mathematics
Queensland University of Technology
BSc Physics
Queensland University of Technology

recent publications

ML Sampson, P Melchior (2024). Path-minimizing Latent ODEs for improved extrapolation and inference. MLST (full version) NeurIPS Workshop for Physical Sciences.

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C Ward, P Melchior, ML Sampson, C Burke, J Siegel, B Remy, S Birmingham, E Ramey, S Van Velzen (2024). Disentangling transients and their host galaxies with Scarlet2: A framework to forward model multi-epoch imaging. arXiv preprint arXiv:2409.15427.

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ML Sampson, P Melchior, C Ward, S Birmingham (2024). Score-matching neural networks for improved multi-band source separation. Astronomy and Computing. Astronomy and Computing.

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ML Sampson, P Melchior (2023). Spotting Hallucinations in Inverse Problems with Data-Driven Priors. Spotlight talk at Machine Learning for Astrophysics. Workshop at the Fortieth International Conference on Machine Learning (ICML 2023), July 29th, Hawaii, USA.

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ML Sampson, JR Beattie, MR Krumholz, RM Crocker, C Federrath, A Seta (2023). Turbulent diffusion of streaming cosmic rays in compressible, partially ionized plasma. Monthly Notices of the Royal Astronomical Society 519 (1), 1503-1525.

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MR Krumholz, RM Crocker, ML Sampson (2022). Cosmic ray interstellar propagation tool using Itô Calculus (criptic): software for simultaneous calculation of cosmic ray transport and observational signatures. Monthly Notices of the Royal Astronomical Society 517 (1), 1355-1380.

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