Guillaume Lachaud is a postdoctoral researcher based in France with a decade of experience at the intersection of artificial intelligence, data science, and big data systems. Currently at École Polytechnique after completing a PhD in Artificial Intelligence at Sorbonne Université, he focuses on graph neural networks and scalable ML infrastructures. His background spans academic research (including a visiting stint at Stanford) and applied roles in industry—from deep learning internships to web development and a medical internship at Sanofi—giving him a rare combination of theoretical depth and practical product exposure. He is comfortable moving between prototype research and systems-level engineering for large datasets. Colleagues describe him as someone who bridges rigorous academic methods with hands-on system design, often bringing insights from real-world deployments back into his research.
10 years of coding experience
2 years of employment as a software developer
PhD, Artificial Intelligence, PhD, Artificial Intelligence at Sorbonne Université
Contributions:11 pushes, 1 branch in 1 year 1 month
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Guillaume Lachaud - Postdoctoral Fellow at École Polytechnique