I am a Ph.D. candidate in Actuarial Science at Université Laval (Québec, Canada) and an Associate of the Casualty Actuarial Society (ACAS). I work on fairness and discrimination in insurance predictive models, under the supervision of Marie-Pier Côté (Université Laval) and Arthur Charpentier (UQAM). My thesis, expected for mid-2027, takes a causal perspective on direct and indirect discrimination based on sensitive characteristics in insurance predictive models, and is carried out in collaboration with one of the largest P&C insurers in Canada.

My research interests include causal inference, algorithmic fairness, insurance pricing, and the governance of predictive models. My doctoral work is supported by an NSERC Canada Graduate Research Scholarship and the SOA Hickman Scholars Program.

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Recent highlights

• A scalable toolbox for exposing indirect discrimination in insurance rates, published by the Casualty Actuarial Society, won the American Academy of Actuaries 2026 Award for Research.
• A statistical perspective on fairness in insurance pricing is forthcoming.
• Recoverability of market-wide fair insurance premiums under selection bias is published in Insurance: Mathematics and Economics (2026).
• I obtained my ACAS designation from the Casualty Actuarial Society in 2025.

You can find all my papers on the Publications page, and my recent presentations on the Talks page.