Zhaohui Huang
Quantitative Researcher
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolZhaohui Huang is a quantitative researcher with about a decade of experience blending rigorous academic training (PhD from Peking University) and practical ML/quant engineering across hedge funds, industry labs, and academia. He builds minute- and daily-frequency time-series and orderbook alphas that have demonstrably improved IC, PnL, and Sharpe versus linear baselines in China A-share and equity markets. His recent work spans controllable generative-model frameworks at Baidu, representation learning and knowledge editing for large models at KAUST, and granular-robotics simulation at Yale, reflecting a rare cross-domain fluency between statistical finance and modern deep learning. Proficient in C/C++, Python, and SQL, he combines hands-on model engineering with production-oriented thinking while based in New Haven. An understated strength is his track record of moving research ideas into measurable trading performance rather than only theoretical gains.
10 years of coding experience
2 years of employment as a software developer
Master of Science, Applied Data Science, Master of Science, Applied Data Science at University of MichiganMaster of Science, Computer Science, Master of Science, Computer Science at Georgia Institute of TechnologyBachelor of Science, Theoretical and Applied Mechanics, Bachelor of Science, Theoretical and Applied Mechanics at Peking University
Github Skills (73)
python10
trading10
trading-bot10
cryptocurrency10
efficientnet10
crypto10
optimizer10
cryptocurrencies10
resnet10
telegram-bot10
recurrent10
bitcoin10
binance10
algorithmic-trading10
imagenet9
Programming languages (1)
Github contributions (5)
zhaohui-yang/CARS
Sep 2019 - Jun 2020
Contributions:12 commits, 12 pushes, 1 branch in 9 months
zhaohui-yang/XNORnet-PyTorch
Jan 2019 - Aug 2019
Contributions:25 commits, 20 pushes, 1 branch in 7 months
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