Francois Drielsma
Associate Staff Scientist
Menlo Park, California, United States
Summary
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Senior🎓
Top SchoolFrancois Drielsma is an experimental high-energy physicist and Associate Staff Scientist at SLAC with a decade of experience applying modern machine learning to particle-reconstruction challenges. He began by exploring nonparametric density estimation through work on non-linear muon beam phase-space and has since focused on developing ML-driven reconstruction for Liquid Argon Time Projection Chambers in SBN and DUNE. His trajectory spans doctoral research at the University of Geneva to progressive scientific roles at SLAC, where he bridges rigorous experimental methods with state-of-the-art computational techniques. Based in Menlo Park, he combines deep domain knowledge of detector physics with practical ML engineering to reduce analysis bottlenecks in neutrino experiments. Notably, his background includes language study (HSK Level 5 in Chinese), suggesting a capacity for cross-cultural collaboration in international research consortia.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at University of LiègeHSK Level 5, Chinese as a Foreign Language, HSK Level 5, Chinese as a Foreign Language at Hainan Normal UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Geneva
French, English, Chinese
Github Skills (19)
travis-ci10
image-processing9
imaging9
python9
machine-learning9
cpp9
static-analyzer8
static-analysis7
convolutional-neural-networks7
open-source7
pytorch4
semantic-segmentation4
deep-learning4
icarus4
cuda4
Programming languages (5)
Github contributions (5)
francois-drielsma/InstrumentKit
May 2019 - Oct 2024
Contributions:79 pushes in 5 years 5 months
laboratorybusespython-packagepython
francois-drielsma/kapton_daq
May 2019 - Oct 2024
Contributions:103 pushes, 1 branch in 5 years 5 months
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