معرفی
Associate Professor Fei Huang is an academic and researcher in the School of Risk and Actuarial Studies at UNSW Business School, where she also leads the Data and AI Tech team at the UNSW Business AI Lab. She holds a PhD from the Australian National University (ANU), an MPhil from the University of Hong Kong, and a BSc from Xiamen University. Prior to joining UNSW in 2020, she served as a Senior Lecturer at ANU. Her research focuses on actuarial science, insurance analytics, fairness in decision-making, mortality forecasting, and the ethical implications of AI in risk modeling.
Fei's work bridges technical actuarial methodologies with broader societal concerns such as equity in insurance pricing and algorithmic fairness. She is a columnist for Actuaries Digital, where she explores 'Responsible Data Science.' Her research has been published in leading journals, addressing topics like mortality differentials, stochastic cost modeling, and adversarial attacks on machine learning interpretability tools.
Fei is a Senior Fellow of Advance HE (SFHEA), reflecting her commitment to pedagogical excellence. Her contributions span multidisciplinary collaborations, emphasizing the importance of addressing discrimination in insurance practices through rigorous academic and practical frameworks.
- Education:
- BSc in Mathematics, Xiamen University
- MPhil in Actuarial Science, University of Hong Kong
- PhD in Actuarial Studies, Australian National University
- Awards:
- Senior Fellow of Advance HE (SFHEA)
- Grants & Engagement:
- Lead researcher in UNSW Business AI Lab initiatives
- Contributions to policy discussions on insurance fairness
Her research lab focuses on advancing AI-driven solutions for actuarial challenges while maintaining ethical and equitable standards. Current projects include mortality forecasting under socio-economic disparities and developing fair machine learning models for insurance applications.
