Summary
Raymond Chua is a researcher bridging AI, computational neuroscience, and reinforcement learning, recently completing a PhD at McGill University conducted at Mila under Doina Precup and Blake Richards. He develops adaptive agents and neuro-inspired models that emphasize continual learning, stable predictive representations, memory consolidation, and mechanistic interpretability, with work presented at NeurIPS and COSYNE. With 12 years of experience across academia and industry, he mentors interns and students, organizes cross-disciplinary workshops, and reviews for top ML conferences. Ray combines mathematical rigor with neuroscience techniques (e.g., representation similarity analyses and cross-attention mechanisms) to build models that generalize in changing environments. Outside the lab he trains for triathlons, a discipline he credits for sustaining long-term focus and resilience in research.
12 years of coding experience