Guillaume Treut

Senior Scientist at Quantum-Si

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Guillaume Treut is a physicist-turned-senior scientist based in San Francisco with eight years of experience building numerical algorithms and production-grade software at the intersection of computational physics, biology, and machine learning. He has a proven track record of turning advanced mathematical models into scalable code— from C++ gradient-descent solvers and OpenMP-parallelized reconstructions of 50,000+ variable systems to U-Net based computer vision pipelines that processed tens of thousands of cells. At Chan Zuckerberg Biohub he led novel stochastic-bridge methods for cell-fate inference and epidemic flux modeling that informed mitigation policy, and he continues to apply that blend of theory and implementation at Quantum-Si. Comfortable on HPC clusters and in production environments, he mentors early-career researchers and brings an uncommon appetite for biological problems despite a deep physics pedigree.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster of sciences and executive engineering Engineering, Master of sciences and executive engineering Engineering at Mines Paris - PSL
bookMathematics ans Physics, Mathematics ans Physics at Lycée Saint-Geneviève
bookDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Université Paris-Saclay
bookBaccalauréat, Baccalauréat at Lycée Chateaubriand
languagesFrench, English, Spanish, Portuguese
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Github Skills (45)

telegram-bot10
python9
trading-bot9
bitcoin9
algorithmic-trading9
cryptocurrency9
vtk8
crypto8
numpy-arrays8
cudnn8
viewer8
binance8
image-viewer8
cryptocurrencies8
image-processing8

Programming languages (2)

C++Python

Github contributions (5)

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gletreut/gem_reconstruction

Feb 2018 - Jan 2019

Contributions:12 commits, 7 pushes, 2 branches in 11 months
gletreut/polymer_simulations

Mar 2019 - Jan 2023

Simulations of a single semi-flexible polymer using either the Monte-Carlo algorithm or Langevin dynamics.
Contributions:1 review, 1 PR, 20 pushes in 3 years 10 months
physicssemisimulationssimulationmonte-carlo
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