Cyril Chhun is a data scientist and AI governance specialist with eight years of experience bridging academic research and regulatory practice. Trained at École Polytechnique and Télécom Paris and holding a PhD in Computer Science, he has published at COLING and TACL and built HANNA, a large open benchmark for automatic story generation that highlights limits of current evaluation metrics. Now at the French prudential regulator (ACPR), he designs methodologies to assess AI systems in finance across performance, robustness, explainability and fairness while coordinating with European supervisors and research institutes. Deeply engaged in AI safety and public policy, he combines hands-on modelling and evaluation expertise with practical experience in crafting regulatory expectations and conducting system-level assessments. An understated strength is his ability to translate complex research findings into operational tools and oversight frameworks usable by both regulators and industry.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at École Polytechnique
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Télécom Paris
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Institut Polytechnique de Paris
Contributions:17 commits, 29 pushes, 4 branches in 3 months
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