Teaching

In September 2022, I joined the PSL’s AI teaching team as an AI Fellow, which implies a teaching duty of 150 h/year, mainly for Masters and graduate programs.
See EFELIA and PSL’s cross-disciplinary Data Science program for more information.

PhD Jury member

– PhD monitoring committee member for W. Tenachi – Strasbourg Observatory, FR (2023)
– Examinator for R. Poitevineau – Paris Observatory, FR (2023)

Also an examinator for several M2 internship defenses

PhD Courses

– [Starting in June 2024] AI for Astrophysics, AAIF doctoral school (ED 127), Paris, FR. Full-week course.

Summer Schools / Intensive Weeks / Short interventions

PSL Week – « Green AI », full organization responsibility and gave all lessons, resources.
One lesson in ESPCI 3A Deep-Learning course, 2023 and 2024, ESPCI, Paris, FR, resources.
Machine Learning – YOLO architecture tutorial, 09/2022, website, link to resources, ITI IRMIA++, Strasbourg (with ObAS), FR

Master Courses

1A – « Green AI » through computation efficiency, 2024, ESPCI, resources.
M2 – Machine Learning and Image Analysis, 2022-…., Paris Observatory, M2-OSAE. Link to course resources (in English). (Previously managed by E. Bertin).
M2 – Numerical methods: Machine Learning and Artificial Neural Networks, 2018 to 2020, Univ. Franche-Comté, Master P2N – CompuPhys (Computational Physics).
M2 – Numerical methods: High-Performance Computing (OpenMP, MPI, CUDA, …), 2018 to 2020, Univ. Franche-Comté, Master P2N – CompuPhys (Computational Physics) and PICS (from FEMTO-ST).
M1 numerical project, 2017, Univ. Franche-Comté, Master P2N – CompuPhys (Computational Physics), for two students on Artificial Neural Network usage and astrophysical applications.

« Licence » Courses (Bachelor)

2nd year (L2): Python programming and numerical recipes (linear systems solving, numerical integrator, ordinary differential equation), 2018-2019, Univ. Franche-Comté, Physics and Mathematics bachelor.

High school interventions

TalENS program of the Ecole Normale Superieure Paris, 2016-2017 Astrophysics introduction lessons and tutorship of a group of high school students. Link to the program webpage TalENS.

Supervision

A. Anthore : Detection and characterization of galaxies in radio astronomical dataset with MLM1 long Internship (01-06/2023) + M2 Lab Insertion Unit (09-12/2023) + M2 Internship (01-06/2024). Poster presented at the EAS 2024.
R. Zouhhad : M2 Internship, Dig the Radio Sky with Neural Networks, details, 04-07/2022.