Tri Nguyen
Machine Learning, Dark Matter, Galaxy Formation
NSERC CPRA–Dunlap Fellow
Dunlap Institute, University of Toronto
Hello, hello! 👋
I am an NSERC Canada Postdoctoral Research Award (CPRA) Fellow and Dunlap Fellow at the Dunlap Institute for Astronomy and Astrophysics, University of Toronto, 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.
Before moving to Toronto, I was a CIERA Postdoctoral Fellow at Northwestern University, and a postdoctoral affiliate of the NSF-Simons SkAI Institute. I graduated with a Ph.D. in Physics (Astrophysics Division) from the Massachusetts Institute of Technology in 2024, where I worked with Prof. Lina Necib.
news
| Sep 01, 2026 | Started as an NSERC CPRA–Dunlap Fellow at the Dunlap Institute, University of Toronto! 🇨🇦🔭 |
|---|---|
| Jun 24, 2026 | New paper out: hints of a core in the ultra-faint dwarf Boötes I from simulation-based inference arXiv:2606.26218 |
| Dec 08, 2025 | New paper on forecasting dark matter subhalo constraints from stellar streams with implicit likelihood inference arXiv:2512.07960 |
| Jul 15, 2025 | FLORAH-tree paper on arXiv: emulating dark matter halo merger trees with graph generative models arXiv:2507.10652 |
| Sep 17, 2024 | SkAI Institute (link) officially announced!! |
selected publications
- Dark Matter in Draco and Boötes I: Hints of a Core in an Ultra-Faint Dwarf from Simulation-Based InferencearXiv e-prints, Jun 2026
- How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point CloudsThe Astrophysical Journal, Jan 2026
- 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