Jian Wu is a quantitative developer with a decade of experience blending machine learning, computer vision and quantitative modelling across trading and banking technology teams. He has progressed from student developer roles to senior quant and engineering positions at Saxo Bank and Ping An Bank, and is currently building quantitative strategies at Tianyan Capital. Trained with an MS in IT and Cognition (specializing in computer vision and deep learning) from the University of Copenhagen and AI coursework at DTU, he pairs strong numerical analysis and signal-processing foundations with practical production experience. Jian’s background in digital signal processing and multi-agent AI gives him an edge turning research ideas into robust trading infrastructure. Colleagues know him for rapidly learning new domains and translating ML/vision techniques into low-latency quant systems. Based in Shanghai, he continues to explore deep learning and quantitative modelling at the intersection of research and production.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS IT and Cognition Specializing in Computer Vision and Machine/Deep learning, Master of Science - MS IT and Cognition Specializing in Computer Vision and Machine/Deep learning at Københavns Universitet - University of Copenhagen
学士 Electronic Information Science specializing in Digital Signal Processing and Computer Vision, 学士 Electronic Information Science specializing in Digital Signal Processing and Computer Vision at Lanzhou University
Contributions:19 commits, 19 pushes, 1 branch in 2 years 4 months
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