An Ju

Quantitative Researcher

Berkeley, California, United States
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Summary

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Rockstar
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Top School
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.
code11 years of coding experience
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, Berkeley
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tsinghua University
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Github Skills (38)

startup10
sinatra10
skeleton10
faye9
ruby9
saas9
rails9
agile9
agile-development8
mvp7
ruby-on-rails7
pivotal-tracker6
pivotal6
decrypt5
planning5

Programming languages (4)

CSSJavaScriptHTMLRuby

Github contributions (5)

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an-ju/projectscope

Nov 2016 - Apr 2019

ProjectScope developed for CS169 at UC Berkeley.
Contributions:149 PRs, 352 pushes, 184 branches in 2 years 5 months
berkeleyuc-berkeley
Metrics for Projects based on their CodeClimate stats
Contributions:2 PRs, 23 pushes, 3 branches in 2 years 6 months
metricscodeclimatestats
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An Ju - Quantitative Researcher