Summary
Vasileios Lioutas is a research scientist with 11 years of experience building probabilistic, generative, and reinforcement learning methods for autonomous driving and human–AI collaboration. He earned a PhD from the University of British Columbia after a strong academic trajectory (MSc with a 4.0 GPA) and moved from applied NLP research at Huawei Noah’s Ark Lab to leading research at Inverted AI. His work blends deep generative models, computer vision, and probabilistic programming to enable multi-agent driving behavior that safely interacts with humans, with practical deployments informed by his industry internships and engineering roles. Based in Vancouver, he pairs rigorous academic foundations with hands-on system building, and his background includes an uncommon mix of military research management and music-school roots that reflect both operational discipline and creative thinking.
11 years of coding experience
10 years of employment as a software developer
High School Diploma, High School Diploma at Music School of Trikala, Greece
Coursera Specialization Certificate, Deep Learning, Coursera Specialization Certificate, Deep Learning at deeplearning.ai
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of British Columbia
Master of Computer Science (MCS), Computer Science (Data Science Specialization), Master of Computer Science (MCS), Computer Science (Data Science Specialization) at Carleton University
Bachelor of Science (BSc) with Honours Degree, Informatics, Bachelor of Science (BSc) with Honours Degree, Informatics at Aristotle University of Thessaloniki (AUTH)
English, Greek