Jia Li is a computer scientist with nine years of experience blending academic research and production engineering, currently based at the University of Minnesota. He authored the paper "Relation-Oriented: Toward Causal Knowledge-Aligned AGI" and champions a provocative thesis that temporal nonlinearity in causality will drive the next wave of AGI within 3–5 years. His background includes Director-level search engineering at Sogou where he managed large-scale, always-on multimedia indexing and analytics clusters, giving him deep operational chops in distributed systems and big data. Trained through a PhD program at the University of Minnesota and earlier degrees from Beijing University of Posts and Telecommunications, he bridges rigorous theory and hands-on system design. Unusually for an applied engineer, he has spent years advocating for a paradigm shift in causal inference—work he believes will unlock counterfactual reasoning for domains like clinical trials and genomics. Open to roles including internships for STEM OPT extension, he brings persistence, a contrarian research perspective, and production-proven engineering skills.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Minnesota
Master's degree, Computer Science, Master's degree, Computer Science at Beijing University of Posts and Telecommunications
Contributions:1 release, 25 commits, 25 pushes in 11 months
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Jia Li - Computer Scientist at University of Minnesota