Javier Duarte - Associate Professor Of Physics

Javier Duarte

Associate Professor Of Physics

San Diego, California, United States

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Summary

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Javier Duarte is an Associate Professor of Physics at UC San Diego who leads a research group applying cutting-edge AI to analyze high-energy collisions on the CMS experiment at CERN. With about a decade of professional experience bridging particle physics and machine learning, he combines deep academic credentials (PhD Caltech, BS MIT) with notable awards including a Sloan Fellowship and DOE Early Career Award. Duarte contributes actively to high-profile open-source projects—implementing the Higgs Interaction Net in the CMS offline software and adding 1D convolution support to the hls4ml FPGA ML toolchain—bringing research models closer to production and real-time hardware. As a co-PI of an NSF institute for accelerated AI algorithms, he focuses on making advanced ML methods both scientifically impactful and deployable in experimental workflows.

11 years of coding experience

4 years of employment as a software developer

Bachelor of Science - BS, Physics and Mathematics, Bachelor of Science - BS, Physics and Mathematics at Massachusetts Institute of Technology

California Institute of Technology

English, Spanish

Github Skills (12)

fpga10

cms10

c-plus10

hlsl10

c-language10

high-energy-physics10

offline-web-app10

c-plus-plus10

offline-app10

c-programming-language10

machine-learning9

keras9

Programming languages (17)

C#C++CCMakeTeXJSONHTMLJupyter Notebook

Github contributions (5)

fastmachinelearning/hls4ml

Dec 2017 - Jan 2023

Machine learning on FPGAs using HLS

Role in this project:

ML Engineer

Contributions:4 releases, 140 reviews, 219 commits in 5 years 2 months

Contributions summary:Javier contributed to the implementation of 1D convolution functionality and the integration of a test project within the `hls4ml` repository. Their work included the creation of a `nnet_conv.h` file that defined the structure and functions for performing 1D convolutions, including configuration parameters and buffer management. Further, they added a test project and test files to validate this implementation.

pytorchpythonvivadofpgasonnx

cms-sw/cmssw

Mar 2018 - Nov 2020

CMS Offline Software

Role in this project:

Back-end Developer

Contributions:20 reviews, 85 commits, 22 PRs in 2 years 8 months

Contributions summary:Javier primarily contributed to the implementation of the Higgs Interaction Net tagger within the CMS offline software project. They introduced and modified code related to feature extraction for charged particles and secondary vertices, specifically integrating features like `cpf_ptrel`, `sv_ptrel` and related calculations. They also appear to have been refactoring and debugging code to address compile warnings. Furthermore, the user integrated the use of the DeepBoostedJet producers and updated the configuration to accommodate these changes.

cmscernweb-appc-plus-plusbackbonejs

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