Summary
Aymeric Beauchamp is a postdoctoral researcher and PhD-trained AI specialist with eight years of experience focused on hybrid AI that blends symbolic and neural methods for human-in-the-loop systems. He applies declarative frameworks like constraint programming to data mining and design tasks, recently working on generative design and ML to support early-stage hospital building planning. Comfortable at the intersection of research, teaching and applied engineering, he has held academic and industry internships that span forensic research, supply chains and software labs. Aymeric’s work emphasizes integrating human constraints and interaction into algorithmic pipelines, bringing practical domain knowledge to formal AI methods. Based in Vaulx-en-Velin, France, he combines deep technical rigor with a talent for bridging disciplinary divides to produce usable, constraint-aware AI solutions.
8 years of coding experience
M. Sc. in Computer Science, M. Sc. in Computer Science at Université de Caen Normandie
Baccalauréat, Baccalauréat at Lycée Charles de Gaulle - Caen
PhD in Computer Science, PhD in Computer Science at Université d'Orléans
English, German, English, German, Japanese, French, Chinese