Individual Loss Reserving using a Gradient Boosting-Based Approach. Risks, 7(3), 1–19.

​In this paper, we propose models for non-life loss reserving combining traditional approaches such as Mack’s or generalized linear models and gradient boosting algorithm in an individual framework.

Pricing Flood Insurance with a Hierarchical Physics-Based Model. North American Actuarial Journal, 1-24.

​In this article, we investigate pricing and spatial segmentation of flood risk in the context of private insurance, meaning that individual risk assessment should minimize adverse selection.

A Claim Score for Dynamic Claim Counts Modelling, Canadian Institute of Actuaries

In this paper, we propose a straightforward but significant modification to this Bonus-Malus Systems Model for Panel Count Data (BMS-panel model). It changes the way the parameters are estimated, drastically reducing both the complexity and the time of the calibration procedure.

Dynamic Moral Hazard: A Longitudinal Examination of Automobile Insurance in Canada, Journal of Risk and Insurance, vol. 85, no 4, p. 939-958.

This article examines moral hazard in the context of dynamic contracting in automobile insurance. Economic theory shows that experience rating of insurers results in state dependence of driving behavior under moral hazard.