Animesh Garg is a Stephen Fleming Early Career Professor at the School of Interactive Computing at Georgia Tech as well as on the Faculty at University of Toronto and Faculty Affiliate of the Vector Institute. He leads the People, AI, and Robotics (PAIR) research group. He is on the core faculty in the Robotics and Machine Learning programs. Animesh is also a Senior Researcher at Nvidia Research. Animesh earned a PhD from UC Berkeley and was a Postdoc at the Stanford AI Lab, and on the Faculty at University of Toronto. His work aims to build Generalizable Autonomy which involves a confluence of representations and algorithms for reinforcement learning, control, and perception — all in the purview of embodied systems. His work has received AAAI New Faculty Highlight and Best Paper Recognitions at top tier venues in Machine Learning and Robotics such as ICRA, IROS, RSS, Hamlyn Symposium, Workshops at NeurIPS, ICML, and has been widely covered in the press including New York Times, Nature, Wired, IEEE Spectrum.