Chong Chen is a research scientist with a Ph.D. in Statistics from Peking University and eight years of experience applying statistical and ML theory to real-world problems across industry domains. He leads a team at Terminus Group building large language models for medical, economic, energy and robotics applications, drawing on prior roles at Alibaba where he developed large-scale image indexing and clustering and mentored research interns. His background in pure mathematics and doctoral work in statistics informs a research focus on unsupervised and self-supervised learning and AI for Science. Chong also has quantitative finance experience from JPMorgan, where he modeled mortgage-backed security rates, demonstrating his ability to translate theory into production-ready models. Known for bridging rigorous theory and applied engineering, he operates at the intersection of foundational ML research and domain-specific deployment.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at 北京大学
Contributions:57 pushes, 1 branch, 1 issue in 2 years
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