Publications
Research on causal inference and uncertainty quantification.
The research side of my work: papers and a patent application from my PhD at École Polytechnique, done inside TotalEnergies' R&D. Also on Google Scholar and ResearchGate.
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Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
ICML 2023
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Robust Prediction Interval estimation for Gaussian Processes by Cross-Validation method
Computational Statistics and Data Analysis, 178:107597, 2023. doi 10.1016/j.csda.2022.107597
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Method and electronic system for predicting value(s) of a quantity relative to a device, related operating method and computer program
US patent application US 2024/0211803 A1, filed May 2021, published 2024
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Statistical learning and sensitivity analysis - Application to Oil and Gas production
MSc thesis, prepared under the supervision of Prof. Josselin Garnier
In the press
Articles that quote this work.
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From what to why: the rise of causal AI
Quoted on causal targeting: “Instead of asking ‘Who is likely to churn?’, it asks: Who will churn if I don't act, but stay if I do?”