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Quentin Duchemin
Quentin Duchemin

Quentin Duchemin

Senior Data Scientist
Research
(Alumni)

Quentin graduated with an engineering degree in mathematics and computer science from École des Ponts ParisTech in 2019. After a 6-month experience at the Center for Data Science of the New York University working on applied Machine Learning for medical imaging, he did a PhD in Statistics at Gustave Eiffel University (Paris). During his PhD, Quentin worked on random graphs and selective inference. His recent cross-disciplinary collaborations involve applications in biology and hydrology.

Projects

DrSCS

Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Biomedical Data Science
RESEARCH

WATRES

Completed
A Data-Driven approach to estimate WATershed RESponses
Energy, Climate & Environment
RESEARCH

MLTox

Completed
Enhancing toxicological testing through machine learning
Energy, Climate & Environment
RESEARCH

Publications

Duchemin, Q.; Obozinski, G. "Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts" Preprint 2025 View publication
Duchemin, Q.; Zanoni, M. G.; Floriancic, M. G.; Seybold, H.; Obozinski, G.; Kirchner, J.; Benettin, P. "Data-Driven Estimation of the hydrologic response via Generalized Additive Models" Preprint 2025 View publication
Benettin, P.; Duchemin, Q.; Zanoni, M. G.; Rinaldo, A.; Kirchner, J. "Data-driven approaches to infer transit time distributions from high-resolution tracer data" European Geosciences Union General Assembly 2024 (EGU24) 2024 View publication

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