{"id":34,"date":"2021-01-08T13:53:16","date_gmt":"2021-01-08T12:53:16","guid":{"rendered":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/?page_id=34"},"modified":"2026-03-23T18:30:46","modified_gmt":"2026-03-23T17:30:46","slug":"teaching","status":"publish","type":"page","link":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/teaching\/","title":{"rendered":"Teaching"},"content":{"rendered":"\n

In September 2022, I joined the PSL’s AI teaching team as an AI Fellow, with a teaching duty of 150 h\/year, mainly for master’s and graduate programs<\/a>.
See EFELIA<\/a> and PSL’s cross-disciplinary Data Science program<\/a> for more information.<\/p>\n\n\n\n

PhD Jury member and committee<\/h2>\n\n\n\n

– PhD monitoring committee member for W. Tenachi – Strasbourg Observatory, FR (2023)
– Examinator for R. Poitevineau’s defense – Paris Observatory, FR (2023)
– Invited (as an external co-supervisor) for Nina Kessler’s defense – LAB, Bordeaux, FR (2025)

Also, examiner for several M2 internship defenses<\/em><\/p>\n\n\n\n

\n\n\n\n

PhD Courses<\/h2>\n\n\n\n

– AI for Astrophysics<\/strong>, yearly since 2024, AAIF doctoral school (ED 127), Paris, FR. Full-week course, resources<\/a>.<\/p>\n\n\n\n

Summer Schools<\/strong> \/ Intensive Weeks \/ Short interventions<\/h2>\n\n\n\n

– DU MARI,<\/strong> lecture on Deep-Learning for source detection in radio-astronomical data<\/strong>, slides<\/a>, Universit\u00e9 de Strasbourg.
– PSL Week – \u00ab\u00a0Frugal AI,\u00a0\u00bb<\/strong> yearly since 2024, hosted at ESPCI, resources<\/a>.
– ESPCI 3A Deep-Learning for object detection masterclass<\/strong>, yearly since 2023, ESPCI, Paris, FR, resources<\/a>.
– Machine Learning – YOLO architecture tutorial<\/strong>, 09\/2022, website<\/a>, link to resources<\/a>, ITI IRMIA++, Strasbourg (with ObAS), FR<\/p>\n\n\n\n

Master Courses<\/h2>\n\n\n\n

– M2 – Introduction to Machine Learning, <\/strong>yearly since 2024, Paris Observatory, M2-OSAE, mandatory course for all students, ressources<\/a>.
– M2 – Machine Learning for astronomical data<\/strong>, yearly since 2022, Paris Observatory, M2-OSAE, part of the numerical recipes specialty course, resources<\/a> (in English).
– 1A (M1) – \u00ab\u00a0Green AI\u00a0\u00bb through computation efficiency<\/strong>, 2024-2025, ESPCI (see updated resources from the PSL Week on frugal AI).
– M2 – Numerical methods: Machine Learning and Artificial Neural Networks<\/strong>, 2018 to 2020, Univ. Franche-Comt\u00e9, Master P2N – CompuPhys<\/a> (Computational Physics).
– M2 – Numerical methods: High-Performance Computing<\/strong> (OpenMP, MPI, CUDA, …), 2018 to 2020, Univ. Franche-Comt\u00e9, Master P2N – CompuPhys<\/a> (Computational Physics) and PICS<\/a> (from FEMTO-ST).
– M1 numerical project<\/strong>, 2017, Univ. Franche-Comt\u00e9, Master P2N – CompuPhys<\/a> (Computational Physics), for two students on Artificial Neural Network usage and astrophysical applications.<\/p>\n\n\n\n

\u00ab\u00a0Licence\u00a0\u00bb Courses (Bachelor)<\/h2>\n\n\n\n

– 2nd year (L2): Python programming and numerical recipes<\/strong> (linear systems solving, numerical integrator, ordinary differential equation), 2018-2019, Univ. Franche-Comt\u00e9, Physics and Mathematics bachelor.<\/p>\n\n\n\n

High school interventions<\/h2>\n\n\n\n

– TalENS program<\/strong> 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<\/a>. <\/p>\n\n\n\n

\n\n\n\n

Supervision

As an official PhD advisor:<\/strong><\/h2>\n\n\n\n

– Adrien Anthore (Since 10\/2025): Co-director with Laurent Chemin (OBAS), CPJ-ANR funding.
– Adam Zarka (Since 10\/2025): Principal director (OBSPM), PR[AI]RIE-PSAI funding (ANR\/France2030).
– Nina Kessler (2022 – 2025): Co-advisor (LAB), AI doctoral program funding (ANR IA Bordeaux, France2030).<\/p>\n\n\n\n

I was, and still am, participating in the supervision of other PhD theses more informally. Most of the time, these participations involve providing advice and support on the proper use of ML\/AI methods in an astronomical context (e.g., Remi Poitevineau, Romain Meriot, Kevin Luke (ongoing), Pietro Albanese (ongoing)).<\/p>\n\n\n\n

Internship advisor:<\/h2>\n\n\n\n

– A. Anthore: <\/strong>Detection and characterization of galaxies in radio astronomical dataset with ML – M1 long Internship<\/strong> (01-06\/2023) + M2 Lab Insertion Unit<\/strong> (09-12\/2023) + M2 Internship <\/strong>(01-06\/2024). Poster<\/a> presented at the EAS 2024.
– R. Zouhhad:<\/strong> M2 Internship, Dig the Radio Sky with Neural Networks, details<\/a>, 04-07\/2022.<\/p>\n","protected":false},"excerpt":{"rendered":"

In September 2022, I joined the PSL’s AI teaching team as an AI Fellow, with a teaching duty of 150 h\/year, mainly for master’s and graduate programs.See EFELIA and PSL’s cross-disciplinary Data Science program for more information. PhD Jury member … Continuer la lecture →<\/span><\/a><\/p>\n","protected":false},"author":37,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-34","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages\/34","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/comments?post=34"}],"version-history":[{"count":77,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages\/34\/revisions"}],"predecessor-version":[{"id":718,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages\/34\/revisions\/718"}],"wp:attachment":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/media?parent=34"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}