Tri Nguyen
Machine Learning, Dark Matter, Galaxy Formation
CIERA Postdoctoral Fellow
Hello, hello! 👋
I am a Postdoctoral Fellow at the Northwestern University’s CIERA, where I explore the nature of Dark Matter and its role in Galaxy Formation and Evolution, especially at the smallest scales. My research involves developing machine learning techniques to analyze cosmological simulations and data from astronomical surveys.
I graduated with a Ph.D. in Physics (Astrophysics Divison) from the Massachusetts Institute of Technology in 2024, where I worked with Prof. Lina Necib.
news
Sep 17, 2024 | SkAI Institute (link) officially announced!! |
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Sep 06, 2024 | NeHOD paper officially on arXiv arxiv:2409.02980 |
Sep 03, 2024 | Officially started my Postdoctoral position at CIERA! 🎉 |
Aug 25, 2024 | Moved to Chicago! 🏙🌨🍕⛲⛱ |
Jul 25, 2024 | Defended my Ph.D. thesis! 🎉🍾🍹⚡🐹 |
selected publications
- How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point CloudsarXiv e-prints, Sep 2024
- Uncovering dark matter density profiles in dwarf galaxies with graph neural networksPhysics Review D, Feb 2023
- FLORAH: a generative model for halo assembly historiesMonthly Notices of the Royal Astronomical Society, Sep 2024
- Synthetic Gaia DR3 Surveys from the FIRE Cosmological Simulations of Milky Way-mass GalaxiesThe Astrophysical Journal, May 2024