Summary
Max Hennick is a Principal Data Scientist and mathematical physicist with eight years of experience applying rigorous math to real-world AI problems, currently focused on training dynamics and robustness for vision models at TrojAI. He blends a strong academic foundation—PhD work in Quantum Chemistry/AI, an MSc in Applied Mathematics, and a BS in Mathematics—with hands-on research in self-supervised and semi-supervised learning to improve model generalization. Previously he translated symmetry and group-theory insights into industrial computer vision solutions at the Research and Productivity Council, and he has a background tutoring and mentoring in calculus, linear algebra, and Python. Based in rural New Brunswick, he pairs deep theoretical instincts with a practical maker mindset, preferring to prototype selectively and publish only the most polished work.
8 years of coding experience
3 years of employment as a software developer
PhD, Quantum Chemistry/Artificial Intelligence, PhD, Quantum Chemistry/Artificial Intelligence at University of New Brunswick