Hao Lee
博士后研究员 at 香港大学
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolHao Lee is a postdoctoral researcher based in Hong Kong with nine years of experience at the intersection of AI, machine learning and financial technology. He applies deep learning, reinforcement learning and classical ML (XGBoost, LGB, RF, SVM, logistic regression) to extract value from large financial datasets and to model network effects between firms and individuals. Previously he worked in market and credit risk, and model validation at ICBC (Asia), bringing practical risk-management rigor to academic research. Hao holds a PhD in Management Science and Industrial Engineering from HKUST and dual degrees from Tsinghua, combining strong theoretical foundations with applied engineering skills in Python, R and Stata. He contributes to industry research at Deepseek-AI and is comfortable moving between mathematical modeling, simulation and production-ready analytics. A less obvious strength is his cross-domain fluency—teaching and case-writing experience that helps translate complex technical findings into actionable business and policy insights.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Transportation/Mobility Management, Master of Engineering - MEng, Transportation/Mobility Management at Tsinghua UniversityHong Kong University of Science and Technology (HKUST)
Chinese, English, Chinese
Github Skills (47)
pytorch9
efficientnet9
loss9
nlp9
speech-recognition8
visual-recognition8
transformer8
python8
deep-learning8
natural-language-processing8
machine-learning8
resnet8
detectron7
tensorflow7
bert7
Programming languages (2)
Github contributions (5)
cpsxhao/cpsxhao.github.io
Aug 2019 - Apr 2024
Contributions:81 pushes, 1 branch in 4 years 8 months
cpsxhao/tsinghuaNet_keepalive
Mar 2019 - May 2021
Contributions:3 pushes, 1 branch in 2 years 1 month
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