I am a master's student at Rice University, focusing on robot task and motion planning in the RobotΠ lab, managed by Professor Kaiyu Hang. My primary interest lies in complex task and motion planning problems. I am keen on developing Large Language and Multi-Modal Models in robotics. My ultimate goal is to develop a capable and robust robot that can not only perform known tasks perfectly but also handle novel situations appropriately.

I enjoy working out, going on road trips, cooking, and listening to K-pop.

🎓 Seeking a PhD in Robotics for the 2025 Academic Year

I am planning to apply for a PhD program in Robotics for the 2025 academic year.

🤖 Robotic Task Planning in Collaboration with Methodist

I am actively engaged in a project dedicated to the development of constrained planning strategies for robotics, under the guidance of Professors Kaiyu Hang and Lydia Kavraki and in collaboration with Methodist.

🥳 1st Price on International Autonomous Racing Competition

I led a team of four members to victory in F1TENTH Competition Head-to-Head Race. The event was part of the 10th F1TENTH Autonomous Grand Prix, held May 23-27, in conjunction with the 2022 International Conference on Robotics and Automation (ICRA 2022) in Philadelphia.

• B.S. in Mathematics and Computer Science
• GPA: 3.86/4.0

Donald J. Hillman Memorial Award: Given annually to a single senior whose accomplishment in AI is judged to be most outstanding at Lehigh University.

Certificate of Recognition for Outstanding Academic Achievement: This certificate is awarded to undergraduate students who have achieved high academic standing.

Dean's List for ALL 4 Years

Ongoing: Multi-Arm Constrainted Task and Motion Planning

• Designing a high level coordinator to speed up multi-arm planning tasks

Autonomous Driving and Robotic Racing

• Developed an algorithm capable of dynamically switching between the optimal path and a bypass route upon detecting an opponent's car obstructing the path during a race.
• Fine-tuned the parameters of a particle filter to enhance localization accuracy

Autonomous Underwater Robotics Development

• Led a team of 14 focusing on object detection and path planning for the underwater robotics
• Improved object detection accuracy and efficiency by transitioning from YOLO v3 to YOLO v8

TA for ECE 450: Internet of Things | Spring 2023

Head TA for ENGR 005: Autonomous Driving and Robotic Racing | Fall 2022

TA for CSE 498: Computer Vision | Spring 2022

Class Grader

• CSE140: Foundations of Discrete Structures and Algorithms: Spring & Fall 2022, Spring 2023
• CSE202: Computer Organization and Architecture: Spring 2022