Yingzhi Tang
Researcher, Quantitative Research Society
BS, The Chinese University of Hong Kong, Shenzhen, Financial Engineering (minor in Artificial Intelligence)2023 – 2027
Quantitative Developer Intern, UBSJul 2026 – Present
Graduate, QRS Research Academy, 2026 Fall #1
About
Yingzhi studies Financial Engineering with a minor in Artificial Intelligence at The Chinese University of Hong Kong, Shenzhen. Her interests span quantitative finance, machine learning, and robust decision-making. Her experience includes quantitative factor research, factor timing, and machine-learning-based trading strategies, alongside work on AI agent systems as a quantitative developer intern at UBS. At QRS, she contributes to PolicyAttention and RiskHedge, exploring the reliability of attention-based policy improvement and decision-making under uncertainty.