Development of new statistical learning algorithms to couple climate projections and past observations in order to reduce the uncertainties of future climate change

Thesis in progress

Team : PALEO

Thesis supervisor: Didier SWINGEDOUW

Thesis co-supervision : Marie CHAVENT

Development of new statistical learning algorithms to combine climate projections and past observations in order to reduce uncertainties about future climate change

Valentin Portmann Presented on : 14/11/2025 Team : PALEO Thesis supervisor: Didier SWINGEDOUW Thesis co-supervision : Marie CHAVENT

Maxime Chastanet Presented on : 16/10/2025 Team : TGM Thesis supervisor: Schäfer Jörg Thesis co-supervision : Maxime Debret / Alexandra Coynel

Edgar Dusacre Presented on : 08/10/2025 Team : EA Thesis supervisor: Jérome Cachot

DURAND Elsa Presented on : 15/04/2025 Team : METHYS Thesis supervisor: Bruno CASTELLE Thesis co-supervision : Déborah IDIER / Thomas GUERIN

ALBAREDES Hugo Thesis in progress Team : GEOLSED Thesis supervisor: Emmanuelle DUCASSOU Thesis co-supervision :

AZORAKOS Georgios Thesis in progress Team : METHYS Thesis supervisor: Bruno CASTELLE Thesis co-supervision : Déborah IDIER

BARATHIEU Héloïse Thesis in progress Team : PALEO Thesis supervisor: Thibaut CALEY Thesis co-supervision : Laure CARASSOU

BEWI Radjiv Thesis in progress Team : PROMESS Thesis supervisor: Olivier ATTEIA Thesis co-supervision : Antonio RODRIGUEZ DE CASTRO

BOURDON Gwendoline Thesis in progress Team : LPTC Thesis supervisor: Sophie SOBANSKA Thesis co-supervision : Eric VILLENAVE

BOURREAU Mathilde Thesis in progress Team : PALEO Thesis supervisor: Chris BOWLER Thesis co-supervision : Xavier CROSTA / Johan ETOURNEAU