Summary
Oliver Limoyo is a Senior Research Scientist with a decade of experience at the intersection of machine learning and robotics, currently applying generative and self-supervised methods to real-world autonomy problems at Waabi. He completed a PhD in Robotics at the University of Toronto, where his work combined manipulation, deep generative modeling, reinforcement and imitation learning, and multimodal visuotactile sensing. Oliver has bridged academic and industry settings—internships at Samsung Research America and Ocado and an affiliate role at the Vector Institute—bringing lab-grade research into data curation, labeling, and introspection pipelines for self-driving systems. Known for blending principled probabilistic models with practical perception and control, he often focuses on how learned representations enable robust manipulation under multimodal uncertainty. Based in Old Toronto, he pairs strong engineering grounding from a mechanical engineering B.Eng. with advanced ML research, making him adept at translating sensor-level innovations into deployable autonomy components.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy, Robotics, Doctor of Philosophy, Robotics at University of Toronto
Bachelor of Engineering (B.Eng.), Mechanical Engineering, Bachelor of Engineering (B.Eng.), Mechanical Engineering at McGill University