Animesh Garg is a Senior Research Scientist in Nvidia AI Research Lab and a Research Scientist at Stanford AI Lab. Animesh received his Ph.D. from the University of California, Berkeley where he was a part of the Berkeley AI Research Group and a Postdoctoral Researcher at Stanford AI Lab. He is an incoming faculty in Computer Science at the University of Toronto. Animesh works in the area of robot skill learning and his work sits at the interface of optimal control, machine learning, and computer vision methods for robotics applications. His research has been recognized with Awards at IEEE CASE, Hamlyn Symposium on Surgical Robotics, and IEEE ICRA. And his work has also featured in press outlets such as New York Times, UC Health, UC CITRIS News, and BBC Click.