Antoine Courbi is a PhD student in computational neuroscience with eight years of experience bridging data engineering, data science, and neural data analysis. Based at the Institut de Neurosciences de la Timone in Marseille, he models decision-making strategies and neural dynamics in mice using recurrent neural networks and large-scale Neuropixels electrophysiology. His background in building end-to-end data pipelines and integrating behavioral and neural datasets enables reproducible, quantitative analyses of complex tasks. Past roles range from industrial data analytics at Urbasolar to deep learning research for land cover mapping and practical software tooling at Qualcomm, reflecting a pragmatic mix of research and product-focused engineering. He often pairs interpretable machine learning approaches with web interfaces, showing a consistent interest in making complex models accessible. Fluent in both experimental neuroscience needs and production data workflows, he sits at the intersection of theory, measurement, and scalable data infrastructure.
7 years of coding experience
2 years of employment as a software developer
General baccalaureate Scientific SVT, General baccalaureate Scientific SVT at Lycée Saint Louis, Orange
Engineer's degree General Studies, Engineer's degree General Studies at EPF Engineering School
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Antoine Courbi - PhD Student In Computational Neuroscience