Jianbo Chen
Quantitative Researcher
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolJianbo Chen is a quantitative researcher at Citadel Securities with a decade of experience bridging rigorous statistics and machine learning, grounded in a Ph.D. from UC Berkeley under advisors Michael I. Jordan and Martin J. Wainwright. He brings research-grade expertise in optimization, adversarial ML, and statistical methodology, with practical production experience from multiple internships at Citadel, Ant Financial, and Microsoft Research. A strong open-source contributor, Jianbo implemented and hardened Boundary Attack++ within the widely used CleverHans adversarial library, demonstrating his ability to translate cutting-edge research into robust tooling. Originally trained in mathematics at the University of Hong Kong and Shanghai Jiao Tong/UC Berkeley exchanges, he combines top-tier theoretical credentials with hands-on deployment in high-frequency trading environments.
10 years of coding experience
4 years of employment as a software developer
Exchange Study, Mathematics, GPA: 4.0/4.0, Exchange Study, Mathematics, GPA: 4.0/4.0 at University of California, BerkeleyThe University of Hong Kong (HKU)Preparation Year, Mathematics, GPA: 93.2/100, Rank: 1 in the Department of Mathematics, Preparation Year, Mathematics, GPA: 93.2/100, Rank: 1 in the Department of Mathematics at Shanghai Jiao Tong University
Github Skills (8)
machine-learning10
benchmarking10
benchmark10
adversarial-attacks10
python10
security10
numpy9
tensorflow9
Programming languages (3)
Github contributions (5)
cleverhans-lab/cleverhans
Apr 2019 - Jun 2019
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Role in this project:
ML Engineer
ML EngineerContributions:10 commits, 6 PRs, 8 comments in 1 month
Contributions summary:Jianbo implemented and refined the Boundary Attack++ (BAPP) adversarial example generation method within the CleverHans library. Their contributions involved adding the core BAPP functionality, addressing corner cases, and fixing issues. The user's work focused on modifying and extending the existing attack code and integrating it with the CleverHans framework.
benchmarkingrobustnessadversarial-machine-learningsecurityadversarial
Jianbo-Lab/HSJA
Apr 2019 - Feb 2021
Contributions:19 commits, 17 pushes, 1 branch in 1 year 10 months
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