Yannick Passarelli is a data scientist with a PhD in neuroscience and four years of experience turning high-dimensional electrophysiological data into actionable insights. He moved from academic research at CNRS—where he designed dense cortical recordings, developed a widely reused visual stimulation protocol and led change management and training—to applied data science at La Plateforme de l'inclusion. Skilled in Python-based signal processing, machine learning and multi-dimensional data visualization, he pairs rigorous experimental design with pragmatic project planning and benchmarking. Comfortable communicating to diverse audiences, he has published and presented internationally and secured competitive doctoral funding. Notably, he combines hands-on surgical and animal experimentation credentials with software-driven data pipelines, a blend that helps bridge wet-lab challenges and scalable analytic solutions.
4 years of coding experience
OpenClassrooms
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Université Paris-Sorbonne
Licence, Physiology, General, Licence, Physiology, General at Université de Montréal
Master 2 (M2), Neurobiology and Neurosciences, Mention bien, Master 2 (M2), Neurobiology and Neurosciences, Mention bien at Université Pierre et Marie Curie
Master 1, Physiologie et neurosciences, Master 1, Physiologie et neurosciences at Université Claude Bernard Lyon 1
Contributions:1 review, 3 PRs, 6 pushes in 6 months
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