Research grants from DARPA, ONR, AFOSR, NASA, NSF, and industry partners including Capital One, JP Morgan, Microsoft, Adobe, and Peraton
Publications in top venues including NeurIPS, ICML, ICLR, and CVPR
In 2025, accepted multiple papers to NeurIPS (including one spotlight), CoRL, ICCV, CVPR, TMLR, and RLC
Delivered keynotes at major conferences and workshops including RLC, CVPR, ICLR, and the Texas Colloquium on Distributed Learning
Background
Associate Professor in the Department of Computer Science at the University of Maryland
Affiliated with the Center for Machine Learning at the Institute for Advanced Computer Studies, the Maryland Robotics Center, the Applied Mathematics, Statistics, and Scientific Computation Program, and the Department of Electrical and Computer Engineering
Research bridges trustworthy machine learning, sequential decision-making, and generative AI, with a strong emphasis on foundation models for robotics
Aims to build intelligent systems that are high-performing, reliable, interpretable, and aligned with human values
Combines theoretical rigor with real-world impact, focusing on robust, adaptable, and safe systems