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 ML – M1 long Internship (01-06/2023) + M2 Lab Insertion Unit (09-12/2023) + M2 Internship (01-06/2024)
– R. Zouhhad : M2 Internship, Dig the Radio Sky with Neural Networks, details, 04-07/2022.