Letian Wang is a Ph.D. student and robot learning researcher with a decade of hands-on experience bridging academic robotics and industrial AI, currently at Google DeepMind working on unified text–video models. His background spans self-supervised 3D representation learning at NVIDIA and multi-institutional robotics research at University of Toronto, CMU, UC Berkeley, and HKUST, reflecting deep expertise in dynamics, control, and interactive autonomous behavior. He combines rigorous control-theoretic foundations from his BE and MS with modern machine learning applied to perception and embodied agents. Known for translating research into scalable models, he often works at the intersection of 3D representations and language-video grounding—an uncommon blend that informs both algorithmic insight and practical systems. Based in Toronto, he brings leadership, cross-disciplinary collaboration, and a track record of impactful internships and research assistantships across top labs.
10 years of coding experience
3 years of employment as a software developer
Master's degree Computational Information, Master's degree Computational Information at Beihang University
Doctor's Degree, Doctor's Degree at University of Toronto
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