Jiajun Wu is an Assistant Professor of Computer Science at Stanford University with a decade of experience at the intersection of machine perception, reasoning, and embodied AI, drawing inspiration from human cognition. His academic path—dual degrees from Tsinghua and advanced SM/PhD training at MIT—pairs deep theoretical grounding with practical research internships across top labs at Google, Microsoft Research, Facebook AI, Baidu, and others. Since joining Stanford in 2020, he has focused on how intelligent systems understand and interact with the physical world, bridging perception and causal reasoning. Notably, his background combines economics and engineering, a rare mix that shapes a systems-level view of AI problems and their real-world impacts. Based in Palo Alto, he blends rigorous scholarship with industry-facing collaborations that accelerate translation from ideas to applied systems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Massachusetts Institute of Technology
Bachelor of Engineering (B.Eng.) Computer Science, Bachelor of Engineering (B.Eng.) Computer Science at Tsinghua University
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3dgenerative-adversarial-network
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