Summary
Victor Yon is an AI research scientist with 11 years of engineering experience and a PhD focused on building reliable, energy-efficient machine learning systems, currently based in Sherbrooke, Quebec. He blends applied research and product-facing work across startups and labs—from co-founding a data-mining service to roles at 1QBit, Inria, and Irréversible—bringing hands-on expertise in PyTorch, ML system optimization, and security-focused tooling. His background spans full-stack and data-acquisition engineering to deep learning research, giving him a rare ability to move ideas from prototypes to robust deployments. Notably, his doctoral work explored ML on emerging memory technologies, underscoring a practical emphasis on energy-aware model design that informs his industry research today.
11 years of coding experience
8 years of employment as a software developer
Master, Cognitive Sciences and Applications, Completed, Master, Cognitive Sciences and Applications, Completed at Universite de Lorraine
Docteur, Machine learning & emerging memories, Docteur, Machine learning & emerging memories at Sherbrooke University
Bachelor of Science (B.S.), Computer Game Development, Completed, Bachelor of Science (B.S.), Computer Game Development, Completed at Glyndŵr University
Bachelor, Computer Science, Completed, Bachelor, Computer Science, Completed at Université de Reims Champagne-Ardenne
French, English