Ludovic Bellier is a Senior Computational Research Scientist in the San Francisco Bay Area with eight years of experience translating high-dimensional neural data into production-grade AI tools for neuroscience and pharma partners. He blends deep expertise in auditory and intracranial electrophysiology with practical ML and data engineering—having led the first reconstruction of musical stimuli from human auditory cortex and standardized multi-center ECoG/SEEG pipelines. At Inscopix he architected cloud-scale infrastructure for 140TB+ multimodal biological data and shipped computer vision models that eliminated hundreds of hours of manual QC while driving $3.2M+ in service revenue. His background spans bench-to-cloud workflows, from prototyping intraoperative hardware to implementing fractional-order superlet analyses in the FieldTrip MATLAB toolbox. Comfortable bridging clinicians, industry partners, and software teams, he brings a rare combination of academic rigor, commercial delivery, and hands-on signal-processing innovation.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Université Claude Bernard Lyon 1
Master's degree, Neuroscience, Master's degree, Neuroscience at Paris-Sud University (Paris XI)
License, Biology, General, License, Biology, General at UVSQ Université de Versailles Saint-Quentin-en-Yvelines
Contributions:7 commits, 14 PRs, 16 comments in 4 years 11 months
Contributions summary:Ludovic primarily contributed to bug fixes and minor updates within the MATLAB codebase, addressing issues in functions like `ft_databrowser`, `ft_volumerealign`, and `ft_volumelookup`. They also implemented fractional orders for superlets within the `ft_freqanalysis.m` file. These changes suggest a focus on improving existing functionality and incorporating advanced signal processing techniques related to the repository's neuroimaging analysis capabilities.
Contributions:15 pushes, 1 branch in 4 years 1 month
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