Tri Nguyen

Machine Learning, Dark Matter, Galaxy Formation

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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!!
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

  1. How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
    Tri Nguyen, Francisco Villaescusa-Navarro, Siddharth Mishra-Sharma, and 16 more authors
    arXiv e-prints, Sep 2024
  2. Uncovering dark matter density profiles in dwarf galaxies with graph neural networks
    Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, and 1 more author
    Physics Review D, Feb 2023
  3. FLORAH: a generative model for halo assembly histories
    Tri Nguyen, Chirag Modi, L. Y. Aaron Yung, and 1 more author
    Monthly Notices of the Royal Astronomical Society, Sep 2024
  4. Synthetic Gaia DR3 Surveys from the FIRE Cosmological Simulations of Milky Way-mass Galaxies
    Tri Nguyen, Xiaowei Ou, Nondh Panithanpaisal, and 4 more authors
    The Astrophysical Journal, May 2024