Aloha!

I am a Senior Applied Scientist at General Motors, specializing in robotic perception and robotic foundation models. My work focuses on developing advanced AI systems that enable robots to understand and interact with complex, real-world environments through multi-modal sensing, large-scale learning, and generative modeling. I am particularly interested in developing safe and scalable robotic platforms that improve autonomy, reliability, and real-world deployment across industrial applications.

Before joining GM, I graduated from Cornell University with a PhD in Robotics advised by Prof. Kirstin Petersen. My research focuses on leveraging swarms of simple robots combined with advanced mathematical models to develop error-tolerant multi-robot systems capable of building large-scale complex structures. During my graduate studies, I have published several papers in high-end robotics conferences, including IROS, ICRA, and DARS. I have also received several awards and fellowships, including Outstanding Academic Award, the Jacobs Fellowship, and Merit-Based Fellowship.

In earlier epochs (pun intended), I received my Master’s in ESE from University of Pennsylvania and my Bachelor’s from Queen’s University at Kingston. I have been fortunate to work with Prof. Jan Van der Spiegel on Brain Machine Interface, and Prof. Mark Daymond on Proton Accelerator.

Recent News

[2026/01] I’m happy to share that I’m starting a new position as Senior Applied Scientist - Robotic Foundation Models at General Motors!
[2025/10] Our paper 2D Construction Planning for Swarms of Simple Earthmover Robots has been accepted to Autonomous Robots
[2024/12] I successfully defended my thesis!
[2024/10] I presented our paper on collective terrain transformation on DARS 2024!