Dr Fei Huang
Senior Lecturer
- Senior Fellow of Advance HE (SFHEA)
- PhD, Australian National UniversityÌý
- MPhil, University of Hong Kong
- BSc, Xiamen UniversityÌý
Business School
School of Risk and Actuarial Studies
Fei is a Senior Lecturer in the School of Risk and Actuaries Studies and Lead - Data and AI Tech at ÁñÁ«¹ÙÍø 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 ÁñÁ«¹ÙÍø in 2020, she was a faculty member at the Australian National University.
In her research, Fei focuses on responsible AI and data-driven decision-making in the insurance industry, utilizing tools from statistics, machine learning, economics, and marketing. Her research interests include fair and non-discriminatory insurance pricing, algorithmic bias, interpretable machine learning, mortality modelling, and customer relationship management. She particularly explores ways to make insurance equitable, affordable, and sustainable in the contexts of AI and climate change. Her work has been published in leading actuarial journals. Fei has received the Carol Dolan Actuaries Summit Prize and the ASTIN Colloquium Best Paper Award for her research on anti-discrimination in insurance pricing. In 2023, she was honoured with the Actuaries Institute's Volunteer of the Year Award in the Spirit of Volunteering category and the ÁñÁ«¹ÙÍø Business School SDG Research Impact Award.
Fei teaches actuarial data science and statistical machine learning at ÁñÁ«¹ÙÍø.Ìý 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.ÌýHer educational excellence has been recognized by winning the ÁñÁ«¹ÙÍø 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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E-mail
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- National Industry PhD Program Award, 2024
- Interpretable and Fair Insurance Risk Pricing using Causal Models,ÌýSOA CKER and CAS Individual Grant Competition, 2024
- Fairness Metrics for Life Insurance (with Milliman), SOA Research Grant, 2023
- , 2023
- Bloomberg Education Excellence Award - Best Innovative Teaching Practice (with Kevin Liu, Xiao Xu, Jonathan Ziveyi, and Sherry Zhang), 2023
- , 2023
- , 2022
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- , 2018
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- Insurance Discrimination and Pricing Fairness in the Context of AI (and non-AI). See related papers below:Ìý
(1)ÌýÌý(with Edward (Jed) Frees), NAAJ, 2022
(2)Ìý(with Xi Xin), NAAJ,Ìý 2023Ìý(This paper won the inauguralÌýÌýand ASTIN Colloquium Best Paper Award)
(3)ÌýÌý(with Hajime Shimao), 2022Ìý - Interpretable Machine LearningÌý
(1) (with Xi Xin and Giles Hooker) - Socio-economic and Subgroup Mortality modellingÌý
- Advanced-age mortality modelling and forecasting using extreme value theory (EVT)
(1)Ìý (with Ross Maller and Ning Xu), Insurance: Mathematics and Economics, 2020 - Customer Churn Analysis
(1) (with Yumo Dong, Edward (Jed) Frees, Francis Hui), ASTIN Bulletin, 2022 ()
Media Coverages:
- RESOLVE, December 2023,Ìý, byÌýÌýResolve Editor Kate Tilley, Australian Insurance Law Association (AILA)
- Huang, F. 2023.ÌýÌýBusiness ThinkÌýÌýÌýÌýÌýÌýÌý
- Huang, F. 2023.ÌýÌýBusiness ThinkÌý
- ANZIIF article 2023:ÌýÌý
- Actuaries Digital 2023:Ìý
- Huang, F. and Xi Xin 2023: , Actuaries Digital
- Huang, F., 2022. Pricing fairness: tackling big data and COVID-19 insurance discrimination, Media Coverage by andÌýÁñÁ«¹ÙÍø Newsroom  Ìý
- Huang, F., 2022. How insurers can mitigate the discrimination risks posed by AI, Media Coverage byÌýÌýandÌý Ìý
- Actuaries Digital 2022, Ìýby MichaelÌýStorozhev (I contributed to the Guidance Resource: AI and Discrimination for Insurance Pricing and Underwriting)
- Huang, F., Liu, K. and Yu, J., 2022.Ìý,ÌýActuaries Digital
- Actuaries DigitalÌý2021:Ìý, by Hugh Miller
- SBS Interview (in Chinese) 2021 on Insurance Discrimination,Ìý
- Value Driven Data Science Podcast 2022, Episode 3:Ìý
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My Research Supervision
- Laura Zhao (primary supervisor), part-time PhD student at ÁñÁ«¹ÙÍø Sydney, National Industry PhD Program
- Xi Xin (primaryÌýsupervisor), PhD student at ÁñÁ«¹ÙÍø Sydney
- Yumo Dong (primary supervisor), PhD student at the Australian National University, graduated.
My Teaching
- ACTL4305/5305 Actuarial Data Science Applications (2020 - now)
Sandbox project (2021): Develop Pricing Models for SME Building Insurnace with Features Having High Cardinality. Industry Partner: Suncorp.
Sandbox project (2022):ÌýMulti-coverage Claim Modelling for Insurance Packaged Products. Industry Partner: IAG.
Sandbox project (2023): Understanding Bushfire Event Risk Across Australia. Industry Partner: Suncorp. - ACTL3142/5110 Statistical Machine Learning for Risk and Insurance Applications (2021-2022)
Sandbox project (2022): Predicting Claims Inflation for Commercial Auto Insurance Pricing. Industry Partner: IAG.