Julien Dubois is a VP of Data Science with 11 years of experience translating computational neuroscience and machine learning research into actionable analyses for brain-computer technologies. He holds a PhD from Caltech and has led multidisciplinary projects linking large-scale noninvasive neuroimaging with invasive intracranial recordings to validate neural biomarkers of intelligence, personality, and epilepsy. At Kernel and Cedars‑Sinai he built Python/Matlab pipelines, experimental platforms, and causal discovery workflows that bridge clinical electrophysiology and population fMRI. A prolific grant recipient and published scientist, he combines rigorous academic methods with product-focused leadership to move complex neural data from lab to clinic. Outside work he’s a new father, outdoor enthusiast, and frequent traveler—traits that inform his collaborative, curiosity-driven approach.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Cognitive Neuroscience, Doctor of Philosophy (PhD), Cognitive Neuroscience at Universite Paul Sabatier
Doctor of Philosophy (PhD), Computation and Neural Systems, Doctor of Philosophy (PhD), Computation and Neural Systems at California Institute of Technology
Decoding auditory representation of brain using natural speech stimuli
Contributions:2 PRs, 2 pushes in 1 day
brainrepresentationdecodingstimulinatural
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