An Ju is a quantitative researcher based in Berkeley with 11 years of experience applying robust machine learning and AI to financial markets at Metabit Trading. He holds a Ph.D. in Computer Science from UC Berkeley where his research emphasized robustness in ML and also explored software engineering and CS education topics. His background bridges rigorous academic research and hands-on quant trading, with prior research internships at Microsoft and UC Berkeley informing his applied approach. Fluent in translating theoretical robustness guarantees into practical trading models, he brings a rare mix of deep theory, production awareness, and cross-disciplinary curiosity.
11 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, Berkeley
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tsinghua University
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Contributions:2 PRs, 23 pushes, 3 branches in 2 years 6 months
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