Guillaume Blaclard is a machine learning engineer with nine years of data science and computational physics experience, currently building ML solutions at Delfox AI. He holds a strong academic background—including a PhD collaboration between Berkeley Lab and CEA Saclay—where he developed and ran large-scale Particle-In-Cell simulations of ultra-high-intensity laser–plasma interactions. Prior roles include data science at Unistellar and research internships that combined numerical methods, spectral solvers, and database design, giving him a rare mix of physics-first modeling and production-minded engineering. Fluent in translating complex simulation workflows into reproducible code and data infrastructure, he brings domain expertise in high-performance scientific computing to applied ML problems. Based in Saclay, France, he combines rigorous research habits with practical product delivery, often surfacing insights that bridge theory and deployable systems.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.), Electrical, Electronics and Communications Engineering, Master of Engineering (M.Eng.), Electrical, Electronics and Communications Engineering at Supélec
Master of Science (M.S.), Plasma and High-Temperature Physics, With Honors, Master of Science (M.S.), Plasma and High-Temperature Physics, With Honors at Université Paris-Saclay
Undergraduate, Undergraduate at Lycée Blaise Pascal
PICSAR is a library of modular physics routines for PIC codes; historically, it is also a Fortran, high performance repository intended to help scientists porting their Particle-In-Cell (PIC) codes
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Guillaume Blaclard - Machine Learning Engineer at Delfox