About me

I’m currently a Provost’s Postdoctoral Fellow in Engineering at the University of Notre Dame, working with Prof. Patrick M. Wensing on geometry- and physics-informed robot learning.

I received my PhD in Robotics from Oregon State University, where I worked with Prof. Ross L. Hatton on advancing geometric mechanics methods toward scalable, dynamic, and practical robotic locomotion.

I earned my MS in Mechanical Engineering from Carnegie Mellon University, where I worked with Prof. Aaron M. Johnson on motion planning and control for bio-inspired legged and tailed robots.

During my senior year, I was an exchange student in Mechanical Engineering at the University of California, Irvine, where I worked with Prof. Zaher M. Kassas on UAV motion planning for information gathering and waypoint opportunistic navigation in GNSS-denied environments.

I completed my Bachelor’s degree in Mechanical Engineering at the South China University of Technology, where I worked on real-time object detection and recognition using convolutional neural networks and metric learning while participating in the RoboMaster Robotics Competition.

My research focuses on improving the control and motion planning of highly dynamic robots, such as legged, aerial, and bio-inspired robots, so that they can operate effectively in real-world settings, including environmental monitoring and search-and-rescue. I use geometric methods from mechanics, dynamics, and control theory to develop physics-consistent robot-learning approaches that are data-efficient, reliable when encountering uncertainty or disturbances, generalizable across tasks and environments, and explainable for transparent and safe deployment.