
Fei is a Senior Lecturer in Risk and Actuaries Studies and Lead - Data and AI Tech at UNSW Business AI Lab. She received her BSc. in Mathematics from Xiamen University, MPhil in Actuarial Science from the University of Hong Kong, and PhD in Actuarial Studies from the Australian National University. Before joining UNSW, she worked at the Australian National University.
Fei's research focuses on ethical AI (and non-AI) in insurance. In particular, she studies insurance discrimination and pricing fairness in the context of AI (and non-AI) and changing climate. She also develops statistical and machine learning methods for various actuarial applications, including customer churn modelling, mortality modelling and forecasting, macroeconomic and investment forecasting, and general insurance pricing. She has published in top-tier actuarial journals and received the Carol Dolan Actuaries Summit Prize and ASTIN Colloquium Best Paper Award for her research on anti-discrimination insurance pricing.
Fei teaches actuarial data science and statistical machine learning at UNSW. Her educational excellence has been recognized by winning the UNSW John Prescott Award for Outstanding Teaching Innovation (2022), ANU Vice Chancellor’s Award for Teaching Excellence in the Early Career Category (2018) and ANU College of Business and Economics Award for Teaching Excellence in the Early Career Category (2017). Fei is a Senior Fellow of Advance HE (SFHEA).
ASTIN Colloquium Best Paper Award, 2022
Carol Dolan Actuaries Summit Prize, 2022
UNSW John Prescott Award for Outstanding Teaching Innovation, 2022
ANU Vice Chancellor’s Award for Teaching Excellence in the Early Career Category, 2018
ANU College of Business and Economics Award for Teaching Excellence in the Early Career Category, 2017
My Research Supervision