Ben Lau
Quantitative Trader
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolBen Lau is a quantitative trader with 10+ years of experience building systematic macro, rates and FX strategies across Asia and global markets, now trading Global Macro Rates and FX at Alphadyne. He combines a Princeton PhD in Physics with deep hands-on expertise in machine learning, reinforcement learning and signal processing to deliver low-turnover, systematic strategies. Previously he led systematic liquid rate and FX research at Shell Street Labs and developed Asian EM macro models at Complus, grounded in rigorous model validation and derivatives structuring experience from Barclays and UBS. A long-term Linux and vim user, he favors lean, reproducible research workflows and brings a physicist’s experimental mindset to production trading systems in Hong Kong.
10 years of coding experience
11 years of employment as a software developer
The Chinese University of Hong Kong (CUHK)Stanford UniversityPhD, Physics, PhD, Physics at Princeton University
Github Skills (115)
python10
torcs10
keras-models10
resampling10
unity3d10
theano10
keras-tensorflow10
pytorch10
deep-q-network10
keras-neural-networks10
image-processing9
nuget9
deep-learning9
machine-learning9
keras9
Programming languages (6)
Github contributions (5)
yanpanlau/Keras-FlappyBird
Jul 2016 - May 2018
Using Keras and Deep Q-Network to Play FlappyBird
Contributions:11 commits, 2 PRs, 10 pushes in 1 year 10 months
flappybirdkeras-modelsdeep-learningkeras-neural-networksmachinelearning
yanpanlau/yanpanlau.github.io
Jul 2016 - Mar 2017
Contributions:89 commits, 86 pushes in 8 months
jekylljekyll-themejekyll-source
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