Zubair Irshad is a Research Scientist at Toyota Research Institute specializing in 3D computer vision, embodied AI and Large Behavioral Models, with 8+ years of deep learning experience and a PhD from Georgia Tech. His work bridges neural implicit representations (NeRFs, SDFs, Gaussian splats) and robotics applications like zero-shot grasping, 6D pose estimation, and multitask dexterous manipulation, resulting in 18+ publications, 8 US patents and 400+ citations. He has a strong track record of turning cutting-edge self-supervised and generative 3D methods into practical robotics systems, contributing core ideas to multiple CVPR/ICCV/ECCV and ICRA papers. Beyond research, he co-led multi-task policy learning for robotics foundational models, organizes community workshops (RoboNeRF ICRA’24), and maintains an influential GitHub presence with 3k+ stars. Based in Palo Alto, he balances industry research at TRI with teaching and mentorship, rapidly iterating between theory, large-scale models and real-world robot deployment.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Georgia Institute of Technology
Bachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
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Zubair Irshad - Research Scientist at Toyota Research Institute