Cyrus Neary

Cyrus Neary is an incoming tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), where he will direct the Artificial Intelligence in Robotics & Engineering (AIRE) Lab. Previously, he was a postdoctoral researcher at Mila (Québec AI Institute) and l’Université de Montréal. His research bridges AI system engineering and engineering applications, focusing on compositional design, physics-informed learning, and reliable autonomous systems. He holds a Ph.D. and M.Sc. in Computational Science from The University of Texas at Austin’s Oden Institute, and a Bachelors of Applied Science in Engineering Physics from UBC.

Education:

• Ph.D. in Computational Science (2024), University of Texas at Austin
• M.Sc. in Computational Science (2021), University of Texas at Austin
• B.A.Sc. in Engineering Physics (Honors Mathematics minor), University of British Columbia (2019)

Research Focus: Developing AI systems that integrate engineering principles and physics-based knowledge for control, robotics, and autonomy. Key areas include multiagent reinforcement learning, physics-informed neural networks, and compositional system design. His work emphasizes reliability, certification, and efficient data utilization in high-stakes applications.

Lab & Opportunities: The AIRE Lab at UBC seeks students (MASc/PhD) to explore AI-robotics intersections. Application deadlines are Jan 15, 2025, with priority given to early submissions (Dec 31, 2024).