Tri Nguyen
Graduate Research Assistant
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolTri Nguyen is a Physics PhD researcher at MIT and a graduate research assistant in the LIGO collaboration with eight years of experience applying machine learning to gravitational-wave detection and detector characterization. He develops convolutional neural networks to detect compact binary signals and investigates non-linear noise coupling in interferometers to improve sensitivity and follow-up. His background spans hands-on transient searches and cosmology-related analyses from undergraduate work at the University of Rochester to machine-learning-driven detector improvements at Caltech. Based in Cambridge and now a postdoctoral fellow at CIERA (Northwestern Universe) in related bios, he bridges astrophysics, data science, and instrumentation with a rare combination of detector expertise and production ML experience. Notably, his work emphasizes practical noise mitigation—improving real observatory performance rather than just offline inference.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Massachusetts Institute of TechnologyBachelor of Science - BS, Astronomy and Astrophysics, Bachelor of Science - BS, Astronomy and Astrophysics at University of Rochester
English, Vietnamese
Github Skills (14)
pytorch-geometric8
pytorch-lightning6
geometric-deep-learning4
pytorch4
orange3
aws3
sampling3
hierarchical2
correlation2
tla2
stellar2
fst1
kd-tree1
obsolete1
Programming languages (2)
Github contributions (5)
trivnguyen/JeansGNN
Apr 2023 - Jan 2024
Neural Simulation-based Inference with GNN for Jeans Modeling
Contributions:3 releases, 7 PRs, 71 pushes in 9 months
geometric-deep-learninggraph-neural-networkspytorchpytorch-geometricpytorch-lightning
trivnguyen/ananke_dr3
Mar 2022 - Aug 2023
Ananke DR3
Contributions:1 review, 17 PRs, 59 pushes in 1 year 6 months
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