Associate Professor Fei Huang
Associate Professor
- Senior Fellow of Advance HE (SFHEA)
- PhD, Australian National University
- MPhil, University of Hong Kong
- BSc, Xiamen University
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 UNSW Business AI Lab. She received her BSc. in Mathematics from Xiamen University, MPhil in Actuarial Science from the University of Hong Kong, and PhD in Actuarial Studies from the Australian National University. Before 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 -...
E-mail
feihuang@unsw.edu.au
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- Dealing with Climate Disasters (with Jeremy Moss), )Australian Research Council (ARC) Discovery Project, 2025-2027, $439,488
- National Industry PhD Program Award, 2024
- Interpretable and Fair Insurance Risk Pricing using Causal Models (with Joshua Loftus (LSE)), SOA CKER and CAS Individual Grant Competition, 2024
- Fairness Metrics for Life Insurance (with Milliman), SOA Research Grant, 2023
- Australian Business Deans Council (ABDC) Award for Innovation and Excellence in Research (Emerging and Applied), with PhD student Xi Xin as a team member, 2024
- UNSW Business School SDG Research Impact Award, 2023
- Bloomberg Education Excellence Award - Best Innovative Teaching Practice (with Kevin Liu, Xiao Xu, Jonathan Ziveyi, and Sherry Zhang), 2023
- Actuaries Institute's Volunteer of the Year Award - Spirit of Volunteering, 2023
- ASTIN Colloquium Best Paper Award, 2022
- Carol Dolan Actuaries Summit Prize, 2022
- UNSW John Prescott Award for Outstanding Teaching Innovation, 2022
- ANU Vice Chancellor’s Award for Teaching Excellence in the Early Career Category, 2018
- ANU College of Business and Economics Award for Teaching Excellence in the Early Career Category, 2017
- Dealing with Climate Disasters (funded by ARC Discovery Project 25)
- Insurance Discrimination and Pricing Fairness in the Context of AI (and non-AI). See related papers below:
(1) The Discriminating (Pricing) Actuary, opens in a new window (with Edward (Jed) Frees), NAAJ, 2022
(2) Anti-discrimination Insurance Pricing: Regulations, Fairness Criteria, and Models (with Xi Xin), NAAJ, 2023 (This paper won the inaugural Carol Dolan Actuaries Summit Prize, opens in a new window and ASTIN Colloquium Best Paper Award)
(3) Welfare Implications of Fairness and Accountability for Insurance Pricing, opens in a new window (with Hajime Shimao), 2022 - Interpretable Machine Learning
(1) Why You Should Not Trust Interpretations in Machine Learning. (with Xi Xin and Giles Hooker) - Socio-economic and Subgroup Mortality modelling
- Advanced-age mortality modelling and forecasting using extreme value theory (EVT)
(1) Modelling life tables with advanced ages: An extreme value theory approach (with Ross Maller and Ning Xu), Insurance: Mathematics and Economics, 2020 - Customer Churn Analysis
(1) Multi-State Modelling of Customer Churn (with Yumo Dong, Edward (Jed) Frees, Francis Hui), ASTIN Bulletin, 2022 (SSRN version)
Media Coverages:
- RESOLVE, December 2023, AI discrimination potential explored, by Resolve Editor Kate Tilley, Australian Insurance Law Association (AILA)
- Huang, F. 2023. If you get a genetic test, could a life insurance firm use it against you?, opens in a new window Business Think
- Huang, F. 2023. Home insurance is on the rise. Is there an affordable solution? Business Think
- ANZIIF article 2023: How to manage bias in insurance data and algorithms. , opens in a new window
- Actuaries Digital 2023: The 2023 Volunteer of the Year Winners Announced!
- Huang, F. and Xi Xin 2023: Anti-discrimination Insurance Pricing: Regulations, Fairness Criteria, and Models, Actuaries Digital
- Huang, F., 2022. Pricing fairness: tackling big data and COVID-19 insurance discrimination, Media Coverage by Business Think and UNSW Newsroom, opens in a new window
- Huang, F., 2022. How insurers can mitigate the discrimination risks posed by AI, Media Coverage by IMD, opens in a new window and Business Think, opens in a new window
- Actuaries Digital 2022, How confident are you that your insurance pricing or underwriting models are not discriminatory? by Michael Storozhev (I contributed to the Guidance Resource: AI and Discrimination for Insurance Pricing and Underwriting)
- Huang, F., Liu, K. and Yu, J., 2022. UNSW data analytics Sandbox empowers young actuaries to help solve industry problems, opens in a new window, Actuaries Digital
- Actuaries Digital 2021: Virtual Summit Shorts: The Discriminating (Pricing) Actuary, opens in a new window, by Hugh Miller
- SBS Interview (in Chinese) 2021 on Insurance Discrimination, Link, opens in a new window
- Value Driven Data Science Podcast 2022, Episode 3: Fairness and Anti-Discrimination in Machine Learning, opens in a new window
My Research Supervision
- Laura Zhao (primary supervisor), part-time PhD student at UNSW Sydney, National Industry PhD Program
- Xi Xin (primary supervisor), PhD student at UNSW 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. Media Coverage
Sandbox project (2022): Multi-coverage Claim Modelling for Insurance Packaged Products. Industry Partner: IAG. Event Video
Sandbox project (2023): Understanding Bushfire Event Risk Across Australia. Industry Partner: Suncorp. Event Video - 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. Event Video