Fei Huang

Visit my personal website: www.feihuang.org. Dr. Fei Huang is an Associate Professor of Risk and Actuarial Studies at UNSW Business School. She holds degrees from Xiamen University (BSc), the University of Hong Kong (MPhil), and the Australian National University (PhD). Her research sits at the intersection of responsible AI, insurance, and data-driven decision-making, with a focus on ensuring that insurance and retirement income systems remain fair, sustainable, and resilient amid technological and climate change. She works across statistics, machine learning, economics, and actuarial science to develop insurance and retirement solutions that are accurate, interpretable, and equitable. Her work has received numerous awards from both academic and professional bodies—including the Australian Business Deans Council Award for Innovation and Excellence in Research, the North American Actuarial Journal Best Paper Award, and the Actuaries Institute’s Volunteer of the Year Award—and is supported by major competitive funding such as Australian Research Council Discovery Projects. Fei is also a leading voice in the profession on responsible data science, serving as a columnist for Actuaries Digital and collaborating widely with industry and government on challenges ranging from fairness and interpretability in insurance pricing to mortality modelling and climate risk. She teaches actuarial data science and machine learning at UNSW, where she has been recognised with multiple teaching excellence awards.