Animesh Garg

Animesh Garg is an Assistant Professor at the School of Interactive Computing at Georgia Tech, where he leads the People, AI, and Robotics (PAIR) research group. He holds a Senior Researcher position at Nvidia Research and has courtesy appointments at the University of Toronto and Vector Institute. Previously, he served as Chief Scientific Officer at Apptronik (2024-2025) and Senior Staff Research Scientist at Nvidia Research (2018-2024).

• Education: Ph.D. in Operations Research from UC Berkeley (2011-2016), MS in Computer Science and Industrial Engineering from Georgia Tech and University of Delhi.
• Research Focus: Building Generalizable Autonomy through Reinforcement Learning, Control Theory, and 3D Vision, with applications in Surgical Robotics, Self-Driving Labs, and Manufacturing.
• Key Article Themes: His recent work emphasizes Foundation Models for robotics, Differentiable Simulation, Language-Guided Autonomy, and Structured Inductive Biases in sequential decision-making.
• Scientific Awards:
  • Stephen Fleming Early Career Professorship at Georgia Tech.
• Teaching: Courses on AI, Deep Reinforcement Learning, and Algorithmic Intelligence in Robotics at Georgia Tech.
• Labs & Collaborations: Affiliated with Institute for Robotics and Intelligent Machines (IRIM) and ML@GT at Georgia Tech; collaborates intensively with Nvidia Robotics.