Mikaël Jacquemont
AI Research Engineer Numerical Simulation
Greater Annecy Area France
Summary
👤
Senior🎓
Top SchoolMikaël Jacquemont is an AI research engineer with 11 years of experience combining deep learning, numerical simulation and HPC to tackle scientific and industrial problems. He holds a PhD in Deep Learning applied to Astrophysics and pioneered full-event reconstruction of Cherenkov telescope data, releasing novel tools like Indexed Convolution and the GammaLearn framework. In industry he has led AI4Sim teams and developed production-focused AI models to improve weather forecasting and large-scale simulations while partnering with academic and industrial stakeholders. Comfortable both as a hands-on modeler and a technical consultant, he routinely benchmarks new hardware accelerators and contributes to open-source projects to boost reproducibility. Based in the Annecy area, he blends academic rigor with practical delivery across research, mentoring and cross-disciplinary collaboration.
11 years of coding experience
5 years of employment as a software developer
Engineer's degree Electrical Engineering and Computer Science, Engineer's degree Electrical Engineering and Computer Science at Polytech Annecy ChambéryDoctor of Philosophy - PhD Deep Learning and Astrophysics, Doctor of Philosophy - PhD Deep Learning and Astrophysics at Université Savoie Mont Blanc
French, English
Github Skills (62)
python10
machine-learning10
indexed10
gpu10
numpy9
chain9
neural-network9
deep-learning9
convolution9
testbench8
reader-writer8
surrogate8
gpu-acceleration8
physics-informed-neural-networks8
autograd8
Programming languages (4)
Github contributions (5)
mikael10j/ctaplot
Dec 2018 - Apr 2022
Plotting library for CTA and other IACT
Contributions:48 pushes, 14 branches in 3 years 4 months
ctapythonplotting-libraryplotting
gammaboard/gammaboard
Nov 2018 - Aug 2019
gammaboard is a dashboard to display IACT reconstruction control plots
Contributions:20 PRs, 39 pushes, 13 branches in 9 months
reconstructionplotsdashboard
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