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Fei is an Associate Professor in the School of Risk and Actuaries Studies and Lead - Data and AI Tech of UNSW Business AI Lab. She received her BSc. in Mathematics from Xiamen University, MPhil in Actuarial Science from the University of Hong Kong, andÌýPhDÌýin Actuarial Studies from the Australian National University.ÌýBefore joining UNSW in 2020, she was a senior lecturer at the Australian National University. Fei is a columnist writing Responsible Data Science series for Actuaries Digital - Actuaries Institute Magazine.

Fei’s research focuses on responsible AI and data-driven decision-making, with particular emphasis on insurance, risk management, and actuarial applications. She draws on tools from statistics, machine learning, economics, and marketing to design solutions that are not only accurate and interpretable, but also fair, stable, and privacy-preserving. A central aim of her work is to ensure that insurance remains equitable, affordable, and sustainable in the face of advancing AI and a changing climate. Her recent research spans three key areas:

• Responsible AI: advancing understanding and adoption of key principles, including accuracy, fairness, interpretability, uncertainty quantification, privacy, and stability, to ensure trustworthy and ethical data-driven decision making.
• Climate disaster risk and insurance: tackling challenges related to affordability, sustainability, and fairness in climate-related insurance design and regulation.
• Retirement income fairness: examining socio-economic mortality differentials and their implications for fair and equitable retirement and annuity systems.

Her work has been published in leading actuarial journals and received many prestigious research awards, including the National Industry PhD Program Award, ABDC Innovation and Excellence Award for Research (Emerging Applied Category), Carol Dolan Actuaries Summit Prize, Amecian Academy of Actuaries' Award for Research, ASTIN Colloquium Best Paper Award, the Actuaries Institute's Volunteer of the Year Award in the Spirit of Volunteering category, and the UNSW Business School SDG Research Impact Award. Her research has been funded by multiple international and domestic institutions, including the Australian Research Council (Discovery Project), the Society of Actuaries, and Milliman.Ìý

Fei teaches actuarial data science and statistical machine learning at UNSW.Ìý By collaborating with industry partners, she incorporates contemporary industry challenges into the course syllabus to offer a unique industry-engaging experience for students.ÌýHer educational excellence has been recognized by winning the UNSW John Prescott Award for Outstanding Teaching Innovation (2022), the ANU Vice Chancellor’s Award for Teaching Excellence in the Early Career Category (2018) and the ANU College of Business and Economics Award for Teaching Excellence in the Early Career Category (2017).Ìý Fei is a Senior Fellow of Advance HE (SFHEA).

Fei works with insurers, consulting firms, and government agencies for transformative research and education projects, covering a wide range of topics. Examples of such collaborations include mortality modelling, fairness metrics for life insurance, Interpretable and fair insurance pricing using causal models, personalised customer management, bushfire risk modelling, multi-coverage bundled insurance pricing, claims inflation forecasting, and property insurance pricing with high-cardinality features.Ìý

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