Summary
Annik Carson is an AI Scientist II with 11 years of experience combining deep learning, reinforcement learning, and neuroscience to build practical, human-aligned AI systems. She has translated PhD-level research on biologically-inspired memory for low-data RL into production-facing products—leading Adaptive Learning at AI Redefined to deliver over $1M in customer projects for simulation-based training in aerospace and defense. Now at Bentley Systems, she focuses on embedding AI into infrastructure design tools, bringing a rare mix of academic rigour (Mila visiting researcher, U of T PhD) and hands-on product leadership. She’s fluent in building automated data pipelines and HPC-driven experimental systems, and is comfortable communicating complex ideas to stakeholders from lab benches to executive briefings. Annik’s background in neuroscience and science communication (AsapSCIENCE contributor) gives her a distinctive edge in designing AI that’s both interpretable and aligned with human learning behaviors.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neurobiology and Behavior, Doctor of Philosophy (Ph.D.), Neurobiology and Behavior at University of Toronto