Francois Drielsma
Project Scientist at SLAC National Accelerator Laboratory
Menlo Park, California, United States
Summary
👤
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
1 year 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 (22)
travis-ci10
image-processing9
network-automation9
cpp8
python8
static-analyzer8
machine-learning8
static-analysis7
open-source6
semantic-segmentation5
convolutional-neural-networks5
sparse5
manifold4
chain4
computer-vision4
Programming languages (5)
Github contributions (5)
francois-drielsma/spine
Jun 2024 - Apr 2025
Scalable Particle Imaging with Neural Embeddings
Contributions:1 release, 10 reviews, 11 PRs in 10 months
francois-drielsma/InstrumentKit
May 2019 - Oct 2024
Contributions:79 pushes in 5 years 5 months
laboratorybusespython-packagepython
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