Freakonometrics

Les actuaires, des apprentis-sorciers ?

Personalized Insurance Premiums Cheaper Thanks to AI? Here’s Why It’s a Slippery Slope

In the end, who will bear the cost of insurance?

Classer, comparer, assurer

Le blog est mort, longue vie au blog

Cartographie des risques, les routes de l’enfer sont pavées de bonnes intentions

À la fin, qui prendra en charge le coût des assurances ?

L’impossible droit à l’erreur, l’impossible droit à l’oubli ?

Global Mathematics Lecture IV, Kyoto University

Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression

IJCAI 2025

The (non-)Ethics of Capitalism

IJCAI 2025 Workshop on Explainable Artificial Intelligence (XAI)

Kyoto (京都), Japan, vs. Montréal, Canada, a first comparison

IJCAI 2025 at home (in Montréal)

Des primes d’assurance personnalisées moins chères grâce à l’IA ?

On my way to Kyoto, Japan

Actuarial Research Conference in Toronto

Is the median far away from the mean (for variables with finite variance)?

When voting becomes paradoxical Condorcet, Arrow, and democracy

“Life insurers can predict when you’ll die with about 98% accuracy”

KNN and K-means in Gini Prametric Spaces, at ECAI 2025, in Bologna, Italy

When Numbers Mislead Us

SCOR Foundation for Science Webinar, ML and Econometrics

Extreme weather events are no longer marginal risks, and the banking sector is slow to take stock of the situation.

Les paradoxes de la segmentation et de la discrimination en assurance, Risques 142

Crise climatique : la prochaine bombe à retardement du système financier

Repenser collectivement les catastrophes

Co-Editor of the European Actuarial Journal

Insuring an uninsurable world – the pricing actuary’s Mission Impossible?

Disaster Risk Financing through Taxation: A Framework for Regional Participation in Collective Risk-Sharing

Collectively rethinking disasters

SCOR Foundation for Science Webinar, ML and Econometrics

Brief presentation of the SCOR project