Phd Students

Erell Gachon (2023 - 2026)

Subject : Statistical applications of optimal transport for flow cytometry data analysis and application to the assessment of minimal residual disease in acute leukemias

Co-supervised with Elsa Cazelles (IRIT).

Issa Mbenard Dabo (2021 - 2025)

Subject : Theory of random matrices and free probabilities for statistical learning

Co-supervised with Camille Male (IMB).

Gauthier Thurin (2021 - 2024)

Subject : Statistical applications of regularized optimal transport between probability measures

Co-supervised with Bernard Bercu (IMB).

Paul Freulon (2019 - 2023)

Subject : Regularized optimal transport for weight estimation in mixture models, and application to flow cytometry

Co-supervised with Boris Hejblum (INSERM/INRIA).

Yiye Jiang (2018 - 2022)

Subject : Statistical analysis of spatio-temporal and multi-dimensional data from a network of sensors

Co-supervised with Sofian Maabout (LABRI).

Yann Cabanes (2018 - 2022)

Subject : Learning complex multidimensional time series following a stationary Gaussian autoregressive model centered in Poincaré and Siegel disks: application to the classification of audio data and radar clutter.

Co-supervised with Marc Arnaudon en partenariat avec Thales Air Systems.

Christophe Dumora (2016 - 2020)

Subject : Estimation of residual chlorine in drinking water distribution networks: a machine learning method within a Big Data ecosystem

Co-supervised with David Auber (LABRI) & Vincent Couallier (IMB), en partenariat avec le LyRE.

Elsa Cazelles (2015 - 2018)

Subject : Statistical properties of the barycenter in Wasserstein space and fast algorithms for optimal transport of measures

Co-supervised with Nicolas Papadakis.

Paul Escande (2013 - 2016)

Subject : Approximation and estimation of integral operators Applications to the restoration of images degraded by spatially varying blurs

Co-supervised with Pierre Weiss.

Claire Boyer (2012 - 2015)

Subject : Block-constrained compressed sensing