{"id":2,"date":"2020-10-14T16:59:45","date_gmt":"2020-10-14T14:59:45","guid":{"rendered":"http:\/\/vm-weblerma.obspm.fr\/dcornu\/?page_id=2"},"modified":"2026-03-28T18:33:01","modified_gmt":"2026-03-28T17:33:01","slug":"page-d-exemple","status":"publish","type":"page","link":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/","title":{"rendered":"About me"},"content":{"rendered":"
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I am an astrophysicist presently employed as an AI Fellow at PSL University (Paris Sciences & Lettres) within the EFELIA program<\/a> (driven by PSL’s Data Science program<\/a>). I am also a fellow of PR[AI]RIE-PSAI (Paris School of AI, funded through the AI-Cluster call).
I work at the Paris Observatory<\/a> as a member of the L<\/a>U<\/a>X<\/a> (Laboratoire d\u2019\u00e9tude de l\u2019Univers et des ph\u00e9nom\u00e8nes eXtr\u00eames).

Contact: <\/strong>david.cornu [at] observatoiredeparis.psl.eu<\/p>\n\n\n\n

My research focuses on analyzing massive datasets from modern giant interferometers (LOFAR, ALMA, NenuFAR, MeerKAT, SKA, etc.) by developing state-of-the-art Machine Learning (ML) approaches. I am particularly interested in studying galaxy properties and their evolution from a statistical perspective using large surveys. I was the PI of the MINERVA team that won<\/a> the second edition of the SKA Science Data Challenges<\/a>, utilizing the custom 3D YOLO-CIANNA source detection and characterization method I developed. Overall, I am interested in ML\/AI methods’ ability to address modern astrophysical challenges and how the specific nature of astronomical datasets and problems can drive innovation in ML research.<\/p>\n\n\n\n


I developed a state-of-the-art Deep Learning framework called CIANNA<\/a>, which is competitive with widely adopted DL libraries (with full low-level CUDA implementation for GPU acceleration) and is entirely open-source. CIANNA can be used to build, train, and deploy a wide variety of network architectures and contains several functionalities and tunings specific to astronomical data. See the new CIANNA website<\/a>.

See my publications<\/a> page<\/em> for an exhaustive list of my contributions.
My LinkedIn profile<\/a> (with education and experience details)<\/em><\/p>\n\n\n\n

LATEST NEWS<\/h1>\n\n\n\n
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[January 2026] Latest paper describing our YOLO-CIANNA-3D source detection method and its application to the SKAO SDC2 HI hyperspectral cube has<\/strong> been published in A&A (Cornu et al. 2026),<\/strong> A&A V707, A203<\/a>.<\/p>\n\n\n\n

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[February 2026]<\/strong> CIANNA’s new dedicated website<\/a> is here!<\/strong><\/p>\n\n\n\n

\"CIANNA<\/a><\/figure>\n\n\n\n

All elements from the GitHub wiki pages will be progressively moved to the website, including:<\/p>\n\n\n\n