I contribute regularly to public discussions on AI, fairness, and insurance, with features across major media outlets including ABC, SBS, Forbes Advisor, and leading actuarial publications. 

Impact

Featured Media

ABC News (2026)
If your home is underinsured, it comes with big risks, experts say
Discusses the growing risks of underinsurance and its implications for households facing climate-related disasters.
[Read more]

ABC News (2026)
How to Decide What Type of Car Insurance Is Best for You
Provides guidance for consumers navigating insurance choices.
[Read more]

SBS Australia Radio (2026)
Rising car insurance premiums: are you choosing the right policy?
Discusses insurance affordability and consumer choices (in Mandarin).
[Listen to interview]

Money (2025)
How Insurance Really Works and How to Get the Best Deal
[Read more]

UNSW Newsroom (2025)
The Retirement Blind Spot: Is the super system failing vulnerable members?
Discusses gaps in retirement planning and policy.
[Read more]

Forbes Advisor (2024)
How Much Is Home and Contents Insurance in Australia
Provides expert insights into pricing trends and affordability challenges in the Australian insurance market.
[Read more]

Info360 (2024)
Why your insurance premiums keep going up
Explains the key drivers of rising insurance premiums and how consumers can respond.
[Read more]

ANZIIF (2023)
How to Manage Bias in Insurance Data and Algorithms
Outlines strategies for mitigating bias in insurance analytics.
[Read more]

Value Driven Data Science Podcast (2022)

Episode 3: Fairness and Anti-Discrimination in Machine Learning

Podcast discussion on fairness, bias, and responsible AI in data science.
[Listen to episode]


UNSW Newsroom (2022)

Pricing fairness: tackling big data and COVID-19 insurance discrimination

[Read more]


SBS Australia Radio (2021)

Better protecting personal information may prevent invisible insurance discrimination

Interview discussing how big data and seemingly “non-sensitive” personal information can contribute to hidden discrimination in insurance pricing (in Mandarin). 

[Listen to interview]

Articles & Commentary

Contingencies (Magazine of the American Academy of Actuaries) (2026)
Designing Fairness in Insurance Pricing
Explores how actuarial science can address ethical challenges in AI-driven pricing.
[Read more]
Referenced by the President of the American Academy of Actuaries in a presidential message on ethical AI and actuarial standards.
Reflects on research that received the Academy Award for Research (American Academy of Actuaries).

The Actuary Magazine (Magazine of the Society of Actuaries) (2026)
Ensuring Fairness in Insurance Pricing
Examines fairness principles and their implications for actuarial practice.
[Read more]
Reflects on research that received the North American Actuarial Journal Best Paper Award.

Actuaries Digital (Magazine of the Actuaries Institute) (2026)
Why AI Interpretations Might Be Lying to You
Examines the limitations of model interpretability tools in practice.
[Read more]

Financial Standard (2026)
One Size Doesn’t Fit All: Is the Super System Failing Vulnerable Members?
Highlights inequalities in retirement outcomes across socio-economic groups.
[Read more]
Featured in Business Think [Read more]

Actuaries Digital (2025)
The Price of Loyalty: Rethinking Optimisation in Insurance Pricing
Highlights how pricing optimisation may unintentionally disadvantage certain groups.
[Read more]

Actuaries Digital (2025)
Achieving Fairness in Data-Driven Decision Making
Discusses practical approaches to fairness in machine learning systems.
[Read more]

The Actuary Magazine (Magazine of the Institute and Faculty of Actuaries) (2025)
Check Your AI: A Framework for Its Use in Actuarial Practice
Provides a structured approach to responsible AI deployment.
[Read more]

Business Think (2025)
How Socio-Economic Factors Drive Life Expectancy Gaps
Examines disparities in longevity and their policy implications.
[Read more]

Actuaries Digital (2025)
When Students Become Startups
Showcases innovative approaches to actuarial education and industry engagement.
[Read more]

Business Think (2024)
Beyond Black Box AI: Pitfalls in Machine Learning Interpretability
Discusses risks of over-reliance on interpretability techniques.
[Read more]

Business Think (2023)
If You Get a Genetic Test, Could a Life Insurer Use It Against You?
Discusses ethical and regulatory considerations in underwriting.
[Read more]

Business Think (2023)
Home Insurance Is on the Rise. Is There an Affordable Solution?
Explores the affordability crisis driven by climate risk.
[Read more]

IMD & BusinessThink (2022)

How insurers can mitigate the discrimination risks posed by AI

[Read more]

Selected for a special print edition of BusinessThink celebrating UNSW Sydney’s 75th anniversary (2024).

[Read more]


Media Enquiries

For media enquiries and interviews, please get in touch via the Contact page.