Thomas Schiex is a seasoned AI scientist and research leader based in Toulouse with over three decades of research experience and 11 years in senior roles, currently holding the "Design with Intuition and Logic" chair at ANITI Toulouse and serving as Research Director at INRAE. His expertise spans neuro-symbolic AI, automated reasoning, machine/deep learning, discrete optimization and computational biology, with applied interests in protein design and energy optimization. He combines formal automated reasoning with practical deep learning techniques to tackle complex, discrete scientific problems that bridge theory and engineering. Thomas has a strong academic foundation with a PhD in AI and a background in real-time systems from École Centrale, and a long-standing commitment to the constraint programming community through leadership roles. Colleagues value his ability to translate rigorous theoretical methods into impactful, interdisciplinary research and design. An uncommon strength is his sustained blend of symbolic methods and energy-based optimization applied to real-world biological design challenges.
11 years of coding experience
3 years of employment as a software developer
Engineer, General engineering with a final year in real time computer science, Engineer, General engineering with a final year in real time computer science at Ecole centrale de Paris
PhD, Computer Science (artificial intelligence: functional programming), PhD, Computer Science (artificial intelligence: functional programming) at Université Paul Sabatier (Toulouse III)
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