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2025, 'Data-rich Economic Forecasting for Actuarial Applications', Insurance: Mathematics and Economics, 124, http://dx.doi.org/10.1016/j.insmatheco.2025.103126
,2025, 'Pitfalls in Machine Learning Interpretability: Manipulating Partial Dependence Plots to Hide Discrimination', Insurance: Mathematics and Economics, pp. 103135 - 103135, http://dx.doi.org/10.1016/j.insmatheco.2025.103135
,2024, 'Insurance analytics: Prediction, explainability, and fairness', Annals of Actuarial Science, 18, pp. 535 - 539, http://dx.doi.org/10.1017/S1748499524000289
,2024, 'Fairness: plurality, causality, and insurability', European Actuarial Journal, 14, pp. 317 - 328, http://dx.doi.org/10.1007/s13385-024-00387-3
,2024, 'Anti-discrimination Insurance Pricing: Regulations, Fairness Criteria, and Models', North American Actuarial Journal, 28, pp. 285 - 319, http://dx.doi.org/10.1080/10920277.2023.2190528
,2023, 'Cause-of-death mortality forecasting using adaptive penalized tensor decompositions', Insurance Mathematics and Economics, 111, pp. 193 - 213, http://dx.doi.org/10.1016/j.insmatheco.2023.05.003
,2022, 'Multi-state modelling of customer churn', ASTIN Bulletin, 52, pp. 735 - 764, http://dx.doi.org/10.1017/asb.2022.18
,2021, 'Multidisciplinary collaboration on discrimination - Not just Nice to Have', Annals of Actuarial Science, 15, pp. 485 - 487, http://dx.doi.org/10.1017/S174849952100021X
,2021, 'The Discriminating (Pricing) Actuary', North American Actuarial Journal, http://dx.doi.org/10.1080/10920277.2021.1951296
,2021, 'Mortality forecasting using factor models: Time-varying or time-invariant factor loadings?', Insurance Mathematics and Economics, 98, pp. 14 - 34, http://dx.doi.org/10.1016/j.insmatheco.2021.01.006
,2020, 'Estimating China’s Future Life Insurance Market', Asia-Pacific Journal of Risk and Insurance, 15, http://dx.doi.org/10.1515/apjri-2019-0027
,2020, 'Multi-population mortality forecasting using tensor decomposition', Scandinavian Actuarial Journal, 2020, pp. 754 - 775, http://dx.doi.org/10.1080/03461238.2020.1740314
,2020, 'Modelling life tables with advanced ages: An extreme value theory approach', Insurance Mathematics and Economics, 93, pp. 95 - 115, http://dx.doi.org/10.1016/j.insmatheco.2020.04.004
,2018, 'Is human life limited or unlimited? (A discussion of the paper by Holger Rootzén and Dmitrii Zholud)', Extremes, 21, pp. 373 - 382, http://dx.doi.org/10.1007/s10687-018-0318-8
,2018, 'Optimal reinsurance: A reinsurer's perspective', Annals of Actuarial Science, 12, pp. 147 - 184, http://dx.doi.org/10.1017/S1748499517000161
,2016, 'Mortality forecasting using a modified CMI Mortality Projections Model for China II: Cities, towns and counties', Annals of Actuarial Science, 11, pp. 46 - 66, http://dx.doi.org/10.1017/S174849951600018X
,2016, 'Mortality forecasting using a modified Continuous Mortality Investigation Mortality Projections Model for China I: Methodology and country-level results', Annals of Actuarial Science, 11, pp. 20 - 45, http://dx.doi.org/10.1017/S1748499516000142
,2014, 'Stochastic economic models for actuarial use: An example from China', Annals of Actuarial Science, 8, pp. 374 - 403, http://dx.doi.org/10.1017/S1748499514000104
,2022, 'Cause-of-death Mortality Modelling using Penalized Tensor Decomposition', presented at 24th International Congress on Insurance: Mathematics and Economics, 04 July 2022
,2022, 'Anti-Discrimination Insurance Pricing: Regulations, Fairness Criteria, and Models', presented at ASTIN Colloquium, 22 June 2022
,2022, 'Anti-discrimination Insurance Pricing: Regulations, Fairness Criteria, and Models', presented at All-Actuaries Summit, 03 May 2022
,2021, 'The Discriminating (Pricing) Actuary', presented at 11th China International Conference on Insurance and Risk Management, 11 July 2021
,2020, 'Modelling Life Tables with Advanced Ages: an Extreme Value Theory Approach', presented at 28th Colloquium on Pensions and Retirement Research, 29 November 2020
,2020, 'The Discriminating (Pricing) Actuary', presented at CLMR Research Symposium 2020, 20 November 2020
,2020, 'Modelling Life Tables with Advanced Ages: an Extreme Value Theory Approach', presented at Actuarial Research Conference, 29 July 2020
,2019, 'Modelling Life Tables with Advanced Ages: an Extreme Value Theory Approach', presented at International Workshop on Subnational Life Tables, 20 November 2019
,2019, 'Multi-population Mortality Forecasting using Tensor Decomposition', presented at China International Conference on Insurance and Risk Management (CCIRM), 30 July 2019
,2018, 'Is there a limit to Human Life or Not?', presented at Actuarial Risk Modelling and Extreme Values (ARMEV) Workshop, 18 September 2018
,2018, 'The Younger-Older Dichotomy of Mortality Patterns: Observations and Applications', presented at 22th International Congress on Insurance: Mathematics and Economics, 09 July 2018
,2025, Data-Rich Economic Forecasting for Actuarial Applications, http://dx.doi.org, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4756743
,2025, Marginal Fairness: Fair Decision-Making under Risk Measures, SSRN, http://dx.doi.org, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5266857
,2025, A Joint Model of Cost and Churn for Stochastic Cost Industries, SSRN, http://dx.doi.org, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5259489
,2025, Towards Fairer Retirement Outcomes: Socio-Economic Mortality Differentials in Australia, http://dx.doi.org10.2139/ssrn.5253598, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5253598
,2025, Learning Fair Decisions with Factor Models: Applications to Annuity Pricing, http://dx.doi.org, https://arxiv.org/abs/2412.04663
,2025, Welfare Implications of Fairness Regulations in Insurance Cost Modeling: A Multi-Method Study, SSRN, http://dx.doi.org, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5112616
,2024, Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots, http://dx.doi.org, https://arxiv.org/abs/2404.18702
,2022, A Proposal for Finite But Unbounded Human Lifetimes, http://dx.doi.org10.1101/2022.01.07.474862
,2021, Data-adaptive Dimension Reduction for US Mortality Forecasting, http://dx.doi.org, https://arxiv.org/abs/2102.04123
,2021, A Mixture Model Incorporating Individual Heterogeneity in Human Lifetimes, http://dx.doi.org10.1101/2021.01.29.428902, https://www.biorxiv.org/content/10.1101/2021.01.29.428902v1
,Anti-Discrimination Insurance Pricing: Regulations, Fairness Criteria, and Models, Elsevier BV, http://dx.doi.org10.2139/ssrn.3850420, https://doi.org/10.2139/ssrn.3850420
,Deductible Costs for Bundled Insurance Contracts, Elsevier BV, http://dx.doi.org10.2139/ssrn.4020299, https://doi.org/10.2139/ssrn.4020299
,Online Supplement to: The Discriminating (Pricing) Actuary, Elsevier BV, http://dx.doi.org10.2139/ssrn.3892473, https://doi.org/10.2139/ssrn.3892473
,Welfare Implications of Fairness and Accountability for Insurance Pricing, Elsevier BV, http://dx.doi.org10.2139/ssrn.4225159, https://doi.org/10.2139/ssrn.4225159
,2025, How socio-economic factors drive significant life expectancy gaps, UNSW Business Think, https://www.businessthink.unsw.edu.au/articles/australian-retirement-longevity-gap
,2025, The Price of Loyalty: Rethinking Optimisation in Insurance Pricing, https://www.actuaries.asn.au/research-analysis/the-price-of-loyalty-rethinking-optimisation-in-insurance-pricing
,2025, Check your AI: a framework for its use in actuarial practice, https://www.theactuary.com/features/2025/06/25/check-your-ai-framework-its-use-actuarial-practice#:~:text=AI%20and%20algorithmic%20tools%20are,AI%20to%20enhance%20decision%20-making.
,2025, Achieving Fairness in Data-driven Decision Making, https://www.actuaries.asn.au/research-analysis/achieving-fairness-in-data-driven-decision-making
,2024, This is why your insurance premiums keep going up, https://360info.org/this-is-why-your-insurance-premiums-keep-going-up/
,2022, Anti-discrimination insurance pricing: Regulations, fairness criteria and models, https://www.actuaries.digital/2022/05/16/anti-discrimination-insurance-pricing-regulations-fairness-criteria-and-models/
,2022, UNSW Data Analytics Sandbox empowers young actuaries to help solve industry problems, https://www.actuaries.digital/2022/05/06/unsw-data-analytics-sandbox-empowers-young-actuaries-to-help-solve-industry-problems/
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