Summary
Stéphane Aroca-ouellette is a PhD candidate and Member of Technical Staff who blends 11 years of software and research experience at the intersection of NLP, robotics, and embodied AI. He develops and applies deep learning and language-grounding methods—publishing at ACL, EMNLP, and AAMAS—while contributing hands-on systems work in Python, PyTorch, and TensorFlow. His background spans academic research roles at CU Boulder and Simon Fraser as well as industry engineering at Rapyuta Robotics and Skyfall AI, giving him a practical bent for moving models from lab to robot. Stéphane is particularly focused on grounding LLMs in embodiment to improve human-agent interaction, a niche that leverages both his robotics internships and point-cloud protein-analysis research. Currently based in Toronto and seeking internships in foundation models or AI research, he brings both rigorous theory and production-oriented engineering to real-world ML challenges.
10 years of coding experience
2 years of employment as a software developer
Point Grey Secondary
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Toronto
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Colorado Boulder
French, Spanish, English