Xiwen Wang is a PhD candidate in Computer Engineering at HKUST with 10 years of hands-on experience bridging academic research and applied algorithms. He has supported advanced courses in convex optimization, portfolio optimization and fintech as a long-term teaching assistant, translating theoretical methods into practical curricula. Xiwen interned as an algorithm engineer at Alibaba, gaining industry experience in production-scale modeling and applied ML. Based in Kowloon, Hong Kong, he combines a strong electrical engineering undergraduate background from Nanjing University with deep expertise in optimization and financial engineering. Colleagues describe him as someone who naturally connects rigorous theory to implementable solutions — a useful trait for turning research prototypes into deployable systems. His personal site aggregates publications and projects, reflecting an emphasis on reproducibility and clear technical communication.
10 years of coding experience
Bachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at Nanjing University
Hong Kong University of Science and Technology (HKUST)
Contributions:25 commits, 19 pushes, 1 branch in 1 month
reacttodolistnodejsreact-nodereactjs
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