Associate Professor Fei Huang
Associate Professor
- 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 an Associate Professor in the School of Risk and Actuaries Studies and Lead - Data and AI Tech at Â鶹Éçmadou 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 Â鶹Éçmadou 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.
In her research, Fei focuses on responsible AI and data-driven decision-making, especially for 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 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, the ASTIN Colloquium Best Paper Award, the Actuaries Institute's Volunteer of the Year Award in the Spirit of Volunteering category, and the Â鶹Éçmadou Business School SDG Research Impact Award. Her research has been funded by multiple international and domestic institutions, including the Australian Research Council (Discovery Project: Dealing with Climate Disasters), Society of Actuaries, Milliman, and Casualty Actuarial Society.Ìý
Fei teaches actuarial data science and statistical machine learning at Â鶹Éçmadou.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 Â鶹Éçmadou 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
- Dealing with Climate Disasters (with Jeremy Moss), )Australian Research Council (ARC)ÌýDiscovery Project, 2025-2027, $439,488Ìý
- National Industry PhD Program Award, 2024
- Interpretable and Fair Insurance Risk Pricing using Causal Models (with Joshua Loftus (LSE)),ÌýSOA CKER and CAS Individual Grant Competition, 2024
- Fairness Metrics for Life Insurance (with Milliman), SOA Research Grant, 2023
- ,Ìýwith PhD student Xi Xin as a team member, 2024
- , with Zurich Cover-More, Industry PhD candidate Laura Zhao, 2024
- , 2023
- Bloomberg Education Excellence Award - Best Innovative Teaching Practice (with Kevin Liu, Xiao Xu, Jonathan Ziveyi, and Sherry Zhang), 2023
- , 2023
- , 2022
- , 2022
- , 2022
- , 2018
- , 2017
- Dealing with Climate Disasters (funded by ARC Discovery Project 25)Ìý
- Fairness and Discrimination: Insurance Discrimination and Pricing Fairness in the Context of AI (and non-AI)
(1)ÌýÌý(with Edward (Jed) Frees), NAAJ, 2023
(2)Ìý(with Xi Xin), NAAJ,Ìý 2024Ìý(This paper won the inauguralÌýÌýand ASTIN Colloquium Best Paper Award)
(3)ÌýWelfare Implications of FairÌýand AccountableÌýInsurance PricingÌý(with Hajime Shimao), 2024 ()
(4)ÌýWelfare Implications of Fairness Regulations in Insurance Cost Modeling: A Multi-Method Study (with Hajime Shimao and Warut Khern-am-nuai), 2025 ()
(5) Learning Fair Decisions with Factor Models: Applications to Annuity Pricing (with Junhao Shen, Yanrong Yang, and Ran Zhao), 2025 ()
(6) Marginal Fairness: Fair Decision-Making under Risk Measures (with Silvana M. Pesenti), 2025 ( /Ìý ) - Transparency and Interpretabilities of AI/Machine LearningÌý
(1) Why You Should Not Trust Interpretations in Machine Learning. (with Xi Xin and Giles Hooker) () - Australian Socio-economicÌýMortality and Retirement Policy
(1) Towards Fairer Retirement Outcomes: Socio-economic Mortality Differentials in Australia (with Francis Hui and Andres Villegas) (Ìý/ÌýÌý/Ìý) - Advanced-age mortality modelling
(1)Ìý (with Ross Maller and Ning Xu), Insurance: Mathematics and Economics, 2020 - Customer Churn Analysis and Customer Management
(1) (with Yumo Dong, Edward (Jed) Frees, Francis Hui), ASTIN Bulletin, 2022 ()
(2) A Joint Model of Cost and Churn for Stochastic Cost Industries (with Yumo Dong, Edward (Jed) Frees, Francis Hui, and Harald Van Heerde) ()
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Software Packages
: STLT fits the Smooth Threshold Life Table (STLT) and Dynamic Smooth Threshold Life Table (DSTLT) as outlined in . It also provides S3 methods for predicting using fitted STLT and DSTLT models, as well as plotting the fitted lines.
Open Dataset
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Online Interative AppÌý
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Media Coverage:
- Actuaries Digital, Responsible Data Science Column, 2025,
- Featured in to celebrate Â鶹Éçmadou Sydney’s 75th anniversary, 2024
- Forbes Advisor, 2024,Ìý
- Business Think. 2024,Ìý.
- Info360, 2024,Ìý. (republished by 75 news medias, and ‘audience reach’ of about 500,624. )
- RESOLVE, December 2023,Ìý, byÌýÌýResolve Editor Kate Tilley, Australian Insurance Law Association (AILA)
- Business Think,Ìý2023.ÌýÌýÌý
- Business Think,Ìý2023.ÌýÌý
- ANZIIF article 2023:ÌýÌý
- Actuaries Digital 2023:Ìý
- andÌýÂ鶹Éçmadou Newsroom , 2022,ÌýPricing fairness: tackling big data and COVID-19 insurance discrimination.
- ÌýÌýandÌý, 2022. How insurers can mitigate the discrimination risks posed by AI.
- Actuaries Digital 2022, Ìý
- Huang, F., Liu, K. and Yu, J., 2022.Ìý,ÌýActuaries Digital
- Value Driven Data Science Podcast 2022, Episode 3:Ìý
- SBS Radio Interview (in Chinese) 2021 on Insurance Discrimination,Ìý
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My Research Supervision
- Laura Zhao (primary supervisor), part-time PhD student at Â鶹Éçmadou Sydney, National Industry PhD Program
- Xi Xin (primaryÌýsupervisor), PhD student at Â鶹Éçmadou 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.
Datathon project (2024): Competing for Pet Insurance Customers: A Pricing Competition. - 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.