Published multiple academic papers such as 'ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis' (CVPR, 2025), 'Task-Oriented Hierarchical Object Decomposition for Visuomotor Control' (CoRL, 2024), and won the Best Paper in Cognitive Robotics at ICRA 2024.
Research Experience
Worked at Boston Dynamics AI Institute, NVIDIA Research, and Lockheed Martin Corporation.
Education
Received an M.A. in Mathematics, M.A. in Economics, and B.S. in Mathematics and Economics from The University of Alabama in 2014; received a PhD in computer science from the GRASP lab at the University of Pennsylvania, co-advised by Dr. Kostas Daniilidis and Dr. Nikolai Matni.
Background
Assistant Professor in the Robotics Department and Computer Science and Engineering Department at University of Michigan. Research interests lie in the intersection of robotics, computer vision, and machine learning, particularly in learning interpretable visual representations and their uncertainty for use in downstream science and robotics tasks, especially autonomous mobile manipulation.