Nhan Tran
Scientist at Fermilab
Aurora, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolNhan Tran is a physicist-turned-scientist with 13 years of experience at Fermilab, progressing from research associate to Wilson Fellow and now a Scientist working at the intersection of experimental physics and applied machine learning. He holds a Ph.D. in Physics from Johns Hopkins and a BA from Princeton, and applies deep domain knowledge to deploy ML models onto specialized hardware—contributing to open-source efforts like hls4ml to map neural networks to FPGAs. His work blends algorithm design, hardware-aware optimization (loop unrolling, array partitioning), and pipeline integration, enabling low-latency inference for physics instrumentation. Based in Aurora, Illinois, he brings both academic rigor and production-minded engineering to multidisciplinary teams, with a demonstrated knack for translating complex models into efficient edge-deployable implementations.
13 years of coding experience
6 years of employment as a software developer
Johns Hopkins UniversityBachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at Princeton University
Github Skills (8)
neural-network10
fpga10
machine-learning10
python9
c-language8
cprogramming-language8
pytorch6
onnx6
Programming languages (11)
Github contributions (5)
fastmachinelearning/hls4ml
Oct 2017 - May 2022
Machine learning on FPGAs using HLS
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 159 commits, 47 PRs in 4 years 7 months
Contributions summary:Nhan contributed to the implementation of machine learning models on FPGAs. Their commits focused on defining and configuring neural network layers, including the addition of layer settings and unroll factors. They also modified the Keras-to-HLS conversion script, suggesting involvement in the model deployment pipeline. Furthermore, the user worked on optimizing the code for hardware, including loop unrolling and array partitioning.
pytorchpythonvivadofpgasonnx
nhanvtran/trackObservables
May 2016 - Mar 2019
Contributions:15 commits, 1 PR, 13 pushes in 2 years 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.