Han Qi is a Research Intern with the Autonomous Vehicle Research Group at Nvidia Research and a Ph.D. candidate at Harvard University, advised by Prof. Heng Yang in the Computational Robotics Lab. Previously, she received a Bachelor’s degree in Computer Science from UC Berkeley with Highest Distinction in General Scholarship, where she worked with Prof. Sergey Levine in the RAIL Lab at BAIR. Han’s research focuses on developing efficient, generalizable, and interpretable machine learning frameworks for robotic perception and decision-making. Her work centers on integrating structured representations and reasoning with learning-based approaches to enable autonomous systems capable of robust and intelligent interaction with the physical world.