I’m a research scientist excited about equipping embodied agents with greater understanding of the worlds they inhabit with us. I am especially interested in building and using representations for embodied intelligence and am excited about working at the intersection of robotics and machine learning.
I have a PhD in Aeronautics and Astronautics from MIT. During my graduate studies, I conducted research with the Robust Robotics Group at MIT’s Computer Science and Artificial Intelligence Laboratory, advised by Dr. Nicholas Roy. My thesis focusing on navigation and estimation in GPS-denied environments of size, weight, and power constrained vehicles. Before that, I obtained my B.S. in Mechanical Engineering from the University of California, San Diego.
Recent News
July 2023: NeO 360 accepted to ICCV 2023!
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor ScenesFebruary 2023: Two papers accepted to CVPR 2023!
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects and
Multi-Object Manipulation via Object-Centric Neural Scattering FunctionsSeptember 2022: Our paper ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes has been accepted to CoRL 2022. [twitter thread]
June 2022: I joined the Toyota Research Institute as a Machine Learning Research Scientist.
