Amin Abyaneh
I am a PhD candidate in AI and Robotics at McGill University and Mila. My research focuses on physical intelligence through learning dynamical systems to enable sequential decision making with data-driven models. I study how agents can build internal world models that capture the structure and evolution of their environments, enabling prediction, planning, and control under uncertainty. By bridging dynamical systems, probabilistic modeling, and modern generative methods, I aim to develop principled learning algorithms that scale to real-world decision-making problems.