Xin He
Research And Teaching Assistant at City University of Hong Kong
Kowloon, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolXin He is a quantitative researcher and teaching assistant at City University of Hong Kong with eight years of experience at the intersection of machine learning, empirical asset pricing, and fintech. He is completing a PhD in Business Statistics while drawing on dual undergraduate training in Applied Mathematics and IE/OR from Shanghai Jiao Tong University. His work blends academic rigor with practical fund evaluation experience from an internship in China’s asset management industry. Xin leads the mlfina team on GitHub, signaling an applied focus on machine learning for finance beyond pure theory. Based in Kowloon, he develops data-driven models for financial research and teaching, often translating complex statistical methods into implementable strategies. Colleagues describe him as someone who pairs deep quantitative skills with a knack for making technical ideas accessible to students and practitioners.
8 years of coding experience
Doctor of Philosophy - PhD, Business Statistics, Doctor of Philosophy - PhD, Business Statistics at City University of Hong KongBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Shanghai Jiao Tong University
mandarine chinese, English
Github Skills (8)
sas10
sec10
edgar10
subset5
capstone2
finance1
python1
agile-development1
Programming languages (4)
Github contributions (5)
xinhe97/xinhe97.github.io
Aug 2019 - Nov 2019
Contributions:194 pushes, 1 branch in 3 months
xinhe97/academic-kickstart
Nov 2019 - Mar 2025
Contributions:466 pushes, 2 branches in 5 years 5 months
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