Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Master: Alexandre Gramfort, Optimization for Data Science, 20h, Msc 2 Data Science Master Ecole Polytechnique, France

• Master: Alexandre Gramfort, DataCamp, 20h, Msc 2 Data Science Master Ecole Polytechnique, France

• Master: Alexandre Gramfort, Source Imaging with EEG and MEG, 7h, Msc 2 in Biomedical Imaging at Télécom Paristech

• Doctoral School: Alexandre Gramfort, Practical machine learning, 6h, The mathematics of imaging: the CIRM pre-school, Marseille, France

• Master: Bertrand Thirion, Functional neuroimaging and BCI, 12h, Master MVA, ENS Paris-Saclay, France

• Master: Bertrand Thirion, Kshitih Chawla, Thomas Bazeille: tutorial on Nilearn, 8h, INT, Marseille.

• Master: Philippe Ciuciu, fMRI course: From acquisition to data Analysis, 6h, Msc 2 in Biomedical Imaging, Université Paris-Sud

• Bachelor: Demian Wassermann, CSE201 class, 15h, C++ programming, Ecole Polytechnique

• Master: Demian Wassermann, 7h Biomedical Engineering, Msc 2 Biomedical Engineering

• Extension: Demian Wassermann, Data Science, 20h, Ecole Polytechnique

• Master: Gaël Varoquaux, Machine learning in Python, 3h, ENSAE

• Master: Gaël Varoquaux, Functional brain connectivity, 7h, Msc 2 in Biomedical Imaging at Télécom Paristech

• Doctoral school: Gaël Varoquaux, representation learning with limited sample, 4h30, Deep Learning Summer School, Warsaw

• Doctoral school: Gaël Varoquaux, machine learning for neuroimaging, 3h, Unique days, Montréal

• Doctoral school: Gaël Varoquaux, machine learning with scikit-learn, 4h, IBPRIA, Madrid

• Master: Thomas Moreau, Formation continue Telecom ParisTech (7h) TP pour Machine learning and Python.

• Master: Thomas Moreau, Master Spécialisé courses, Telecom ParisTech (20h) Assistant TP pour le cours de machine learning avancé.

• Master: Thomas Moreau, Exectutive Master Statistique et Big Data, Université Paris-Dauphine (9h) Cours Python pour le machine learning.

• Master: Thomas Moreau, Master Data Science, Université Paris-Saclay (25h) Cours machine learning associé à un challenge.

• Master: Olivier Grisel, Master Data Science, Université Paris-Saclay (40h) Cours de Deep Learning.

Supervision

Demian Wassermann has defended his habilitation thesis in May 2019.

The following PhD defenses have taken place

• Guillermo Gallardo, "Inferring and comparing structural parcellations of the human brain using diffusion MRI", defended Jan 2019, co-directed by Demian Wassermann

• Patricio Cerda, "encoding high-cardinality string categories", defended Nov 2019, directed by Gaël Varoquaux

• Jérome Dockes, "large-scale predictive neuroimaging meta-analyses" defended Nov 2019, directed by Gaël Varoquaux & Fabian Suchanek (Telecom)

• Pierre Ablin, defended Nov 2019, directed by Alexandre Gramfort

• Mathurin Massias defended Dec 2019, directed by Alexandre Gramfort

• Loubna El Guedari, defended Dec 2019, directed by Philippe Ciuciu

Ongoing PhD theses

• Kamalakar Daddi, "predictive population analysis for mental health", defense planned Oct 2020, directed by Gaël Varoquaux, Denis Engemmann & Bertrand Thirion

• Alexis Cvetkov Iliev, "embeddings of database entries", defense planned Oct 2022, directed by Gaël Varoquaux & Alexandre Allauzen (ESPCI)

• Hicham Janati, 01/10/2017, coadvised by Alexandre Gramfort and Marco Cuturi

• Quentin Bertrand, 01/10/2018, coadvised by Alexandre Gramfort and Joseph Salmon

• Hubert Banville, 01/10/2018, coadvised by Alexandre Gramfort and Denis Engemann

• David Sabbagh, 01/10/2018, coadvised by Alexandre Gramfort and Denis Engemann

• Jérôme-Alexis Chevalier, 01/10/2017, coadvised by Bertrand Thirion and Joseph Salmon

• Hugo Richard, 01/10/2018, coadvised by Bertrand Thirion and Olivier Grisel

• Thomas Bazeille, 01/10/2018, advised by Bertrand Thirion

• Tuan Binh Nguyen, 01/10/2018, coadvised by Bertrand thirion and Sylvain Arlot

• Valentin Iovene, 01/10/2018, advised by Demian Wassermann

• Antonia Machlouzarides Shalit, 01/10/2018, coadvised by Demian Wassermann and Bertrand Thirion

• Hamza Cherkaoui, 01/10/2017, co-advised by Philippe Ciuciu and Thomas Moreau

• Zaccharie Ramzi, 01/02/2019, co-advised by Philippe Ciuciu and Jean-Luc Starck

• Anaïïs Artiges, 01/10/2019, co-advised by Philippe Ciuciu and Cyril Poupon

• Guillaume Daval-Frérot, 01/11/2019, advised by Philippe Ciuciu

• Maeliss Jallais, 01/10/2018, advised by Demian Wassermann

• Lucas Martin, 01/10/2019, advised by Bertrand Thirion and Julie Josse.

• Chengran Fan, 01/10/2019, co-advised by Demian Wassermann and Jing-Rebecca Li

• Gaston Zanitti, 01/11/2019, advised by Demian Wassermann

Juries

Bertrand Thirion has been involved in the following committees:

• PhD - Florian Tilquin / University of Strasbourg

• PhD - Han Bossier / University of Ghent

• Habilitation - Laurent Oudre / Université Paris XIII

Philippe Ciuciu has been involved in the following committees:

• PhD - Marica Pesce (reviewer) / Heriot-Watta University, Edinburgh

• PhD - Christian El Hajj (reviewer) / Ecole Centrale Nantes.

Denis Engemann has been involved in the following committees:

• PhD - Laura Sophie Imperatori, IMT School for Advanced Studies Lucca, Lucca, Italy

• MD - Cyril Touchard, Université Paris Diderot (Paris 7)

Gael Varoquaux has been involved in the following committees:

• PhD - Beyrem KHALFAOUI / Mines ParisTech

Alexandre Gramfort has been involved in the following committees:

• PhD - Benjamin Donnot / LRI, Université Paris-Sud

• PhD - Belhal Karimi / CMAP, Polytechnique

• PhD -Pedro Rodriges (reviewer) / GIPSA Lab, Grenoble

• PhD - Kostiantyn Maksymenko (reviewer) / Inria, Sophia

• MD - Cyril Touchard, Université Paris Diderot (Paris 7)

Demian Wassermann has been involved in the following committees:

• PhD-midterm - Katrin Rojkova / Université Paris-Sorbonne

• Habilitation - Daniel Margulies / Université Paris-Sorbonne