Yubin Deng
Quantitative Researcher
United Kingdom
Summary
👤
Senior🎓
Top SchoolYubin Deng is a quantitative researcher with nine years of experience combining PhD-level academic training from The Chinese University of Hong Kong with hands-on quantitative research at Squarepoint. He progressed through two summer internships at J.P. Morgan before joining Squarepoint in 2019, developing systematic models and data-driven strategies in a production research environment. Comfortable at the intersection of engineering and statistics, he brings a strong computational background from engineering and computer science studies and business exposure via UC Berkeley Haas summer sessions. Based in the UK, Yubin blends rigorous academic methods with practical trading research, and his profile suggests a quietly deep focus on translating advanced theory into robust, deployable quantitative signals.
10 years of coding experience
Haas School of Business summer sessions, Haas School of Business summer sessions at University of California, BerkeleyEngineering and Computer Science, Engineering and Computer Science at Sun Yat-sen UniversityThe Chinese University of Hong Kong (CUHK)
English, Chinese, Chinese
Github Skills (18)
python9
machine-learning9
gpu9
deep-learning9
gpu-acceleration8
numpy8
tensor8
neural-network8
autograd7
actor-critic6
pytorch4
mujoco4
hessian4
deep-reinforcement-learning3
reinforcement-learning3
Programming languages (2)
Github contributions (5)
dannysdeng/dqn-pytorch
Oct 2018 - Jul 2019
Contributions:42 commits, 20 pushes in 9 months
dannysdeng/MuJoCo-InstallGuide
Apr 2018 - Oct 2018
Contributions:13 commits, 9 pushes, 1 branch in 5 months
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