Summary
Guillaume Becq is a research engineer with 11+ years of experience applying signal processing, statistical modeling and software engineering to multiscale neuroimaging and electrophysiology (EEG, MEG, MRI, SEEG, MEA, calcium imaging). Based at CNRS/Gipsa-lab in Grenoble, he designs experimental platforms, develops algorithms to trace information propagation in neural networks, and manages large neuroscience datasets. He supervises a multidisciplinary team of eight engineers, bridging applied mathematics and software development to turn complex biological measurements into actionable analyses. His background—PhD in biomedical engineering and a master’s in electrical engineering—underpins a rare combination of hands-on instrumentation work and advanced algorithm development. An often-overlooked strength is his track record in translating lab-scale methods (from MEA to hospital monitoring) into robust tools used across research partners like GIN and the Neel Institute.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Doctor of Philosophy (PhD), Biomedical/Medical Engineering at Université Joseph Fourier (Grenoble I)
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Institut national polytechnique de Grenoble
English, French, Italian, Japanese, Latin, grec, ancien (jusqu’en 1453)