Dr. Animesh Garg

Assistant Professor

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Biography

Animesh Garg is an AI Researcher and Early Career Professor at Georgia Institute of Technology, notably in the School of Interactive Computing. His expertise lies in building algorithmic foundations for generalizable autonomy in robotics, enabling systems to acquire skills that allow seamless and collaborative interactions with humans in novel environments. His research group focuses on understanding structured inductive biases and causal decision-making, with particular emphasis on multi-modal object-centric spatiotemporal event representations, self-supervised pre-training, reinforcement learning, and skill learning. Animesh has held research leadership roles at Nvidia and Apptronik, and has courtesy appointments at the University of Toronto and the Vector Institute. He is actively engaged in the robotics community, having been invited as a speaker at various prestigious conferences such as ICRA and ICLR.

Research Interests

Experience

Assistant Professor

2024-01-01 — 2025-12-31

Georgia Institute of Technology • Atlanta, GA

Assisting in teaching and conducting research in computer science.

Chief Scientific Officer

2018-01-01 — 2024-12-31

Apptronik •

Led scientific research and development efforts.

Senior Staff Research Scientist

2019-01-01 — 2023-12-31

Nvidia Research •

Conducted advanced research in AI and robotics.

Postdoc

2016-01-01 — 2018-12-31

Stanford University •

Worked on AI and robotics research.

Courses

CS 3600 Introduction AI (UG) CS 8803 Deep Reinforcement Learning (Grad) CSC 375 Algorithmic Intelligence Robotics (UG) CSC 2547 Deep Learning: 3D & Geometric Structure (Grad) CSC 475 Introduction Reinforcement Learning (UG) CSC 2621 Reinforcement Learning (Grad)

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.