Summary
Yuyun Yang is an Assistant Professor of Teaching in Data Science and AI at Lingnan University with eight years of interdisciplinary experience spanning academic research, quantitative finance, and product development. She earned a PhD and MS in Computational and Mathematical Engineering from Stanford and holds a summa cum laude Mathematics-Statistics degree from Columbia, underpinning strong expertise in data assimilation, numerical methods, and quantitative modeling. Her postdoctoral work at CUHK and prior research at Stanford produced peer-reviewed results in early-warning tsunami modeling using ensemble Kalman filters, reflecting a knack for turning complex geophysical problems into operational tools. Earlier roles at JPMorgan and ClimateAI demonstrate her ability to translate academic methods into financial risk analytics and climate-impact products. Based in Hong Kong, she combines rigorous teaching, research, and industry-informed data science practice, and maintains an active public-facing portfolio at yuyunyang.wordpress.com.
8 years of coding experience
1 year of employment as a software developer
A-Level, Math, Physics, Chemistry, Knowledge & Inquiry, Project Work, Contemporary Physics, A-Level, Math, Physics, Chemistry, Knowledge & Inquiry, Project Work, Contemporary Physics at Raffles Junior College
O-Level, Math, Physics, Chemistry, English, Chinese, History, Geography, Social Studies, O-Level, Math, Physics, Chemistry, English, Chinese, History, Geography, Social Studies at Raffles Girls' Secondary School
Bachelor's Degree, Mathematics-Statistics, Summa Cum Laude, GPA 4.0, Bachelor's Degree, Mathematics-Statistics, Summa Cum Laude, GPA 4.0 at Columbia University in the City of New York
Doctor of Philosophy - PhD, Computational and Mathematical Engineering, Doctor of Philosophy - PhD, Computational and Mathematical Engineering at Stanford University
Chinese, French, Japanese, English