Summary
Céline Hocquette is a machine learning research engineer focused on program synthesis, learning, and logical reasoning, with eight years of hands-on research experience and a PhD from Imperial College London. She co-developed the state-of-the-art ILP system Popper during a postdoc at Oxford and has nine publications in top AI venues, demonstrating a strong record of advancing automated code generation. Now at Symbolica AI in London, she bridges rigorous academic methods with practical engineering to push program synthesis toward real-world applications. Her background in mathematics and computer science, plus experience casting meta-interpretive learning as constraint satisfaction, gives her a unique ability to blend formal methods and statistical learning. Colleagues describe her as both methodical and creative, often finding compact logical solutions where others see only large model training tasks.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Distinctions, Master's degree, Mathematics and Computer Science, Distinctions at Imperial College London
Advanced mathematics and physics, Advanced mathematics and physics at Lycée Sainte Geneviève
University of Oxford
A-level, Mathematics, Distinctions, A-level, Mathematics, Distinctions at Lycée Fénelon
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Université Paris Sud (Paris XI)
Master of Science - MSc, Master of Science - MSc at Supélec
French, English, Spanish