I'm a PhD candidate in the Robotics Department at the University of Michigan in Ann Arbor. I work in the Lab for Progress with Prof. Chad Jenkins. Previously, I studied Electrical Engineering at McGill University in Montreal, Canada, where I worked with the Mobile Robotics Lab. I also interned at NVIDIA's Robotics Lab.
My research focuses on uncertainty in robotics. My work touches on how to represent uncertainty in perception systems, and how to handle uncertainty in planning. I'm particularly interested in how to combine probabilistic inference with machine learning.
I'm passionate about teaching and have been lucky to teach some great groups of students during my PhD at the University of Michigan. I've been a graduate student teaching assistant for ROB 501: Math for Robotics and EECS 467: Autonomous Robotics.
Most recently, I've had the opportunity to co-develop a new course, ROB 102: Intro to Artificial Intelligence and Programming. I co-instructed this course in Fall 2021 and Fall 2022. I was selected as an honourable mention for the Towner Prize for Outstanding Graduate Student Instructors for my work on the pilot offering of the course.