About me

Welcome!

In Fall 2025, I will begin as an assistant professor in the Department of Electrical and Computer Engineering at The University of British Columbia. I’m currently a postdoctoral researcher in the the Robotics and Embodied AI Lab at Mila and l’Université de Montréal.

I received my Ph.D. (2024) and M.Sc. (2021) degrees in Computational Science, Engineering, and Mathematics from The Oden Institute at The University of Texas at Austin. There, I worked with Professor Ufuk Topcu as a member of the Center for Autonomy. I was also a member of the Center for Scientific Machine Learning.

Prior to my graduate studies in Austin, I obtained a Bachelors of Applied Science degree from The University of British Columbia, where I studied Engineering Physics and minored in Honours Mathematics.

Research Interests

Realizing the full potential of artificial intelligence (AI) requires a dual approach: developing engineering methodologies to design AI systems, and designing AI algorithms to solve specific engineering problems. My research leverages this dual perspective to develop AI systems for purposes of control, robotics, autonomy, dynamics modeling, and computational engineering. Specifically, my research asks: how can we engineer AI systems within budget constraints, certify them against stakeholder requirements, and ensure that they meet the needs of the end user? On the other hand, how can we design AI algorithms that embrace the unique characteristics of engineering applications?

Towards answering these questions, my research develops theory and algorithms that span topics from multiagent reinforcement learning, to physics-informed machine learning, to the reliable use of large language models in the design of autonomous systems. Through compositional approaches to system design, my research enables independent development and testing of separate AI modules, with the goal of facilitating the process of reliably deploying their compositions in practice. By integrating data with prior physics and engineering knowledge, my research creates systems that effectively control hardware after mere minutes of data collection and training. More broadly, my research aims to address the diverse and ever-expanding challenges and opportunities associated with engineering AI systems to tackle societally impactful problems.

If you’re interested in learning more, click here for a list of my recent projects.