Dr Fei Huang

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) and Data Science for Insurance. In particular,  she studies insurance discrimination and pricing fairness in the context of AI (and non-AI). She also develops statistical and machine learning methods for various actuarial applications, including customer churn modeling, mortality modeling, macroeconomic forecasting using Big Data, 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. She was a recipient of the Actuaries Institute's Volunteer of the Year Award in the Spirit of Volunteering category in 2023. 

Fei teaches actuarial data science and statistical machine learning at UNSW.  By collaborating with industry partners, she incorporates contemporary industry challenges into the course syllabus to offer a unique industry-engaging experience for students via Sandbox Projects. 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).