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Marc Huertas Company
Instituto de Astrofísica de Canarias, Spain
► Observational surveys across different wavelengths
| TBC |
Nicola Rosario Napolitano
Università degli Studi di Napoli Federico II, Italy
► Machine Learning and Extragalactic Science
| TBC |
Yvonne Becherini
Université Paris Cité, France
► Machine Learning and Deep Learning in Astroparticle Physics: From Cosmic Rays to Neutrino and Gamma-Ray Astronomy
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Yvonne Becherini is a professor of physics at Université Paris Cité and former Chair of Excellence at the Data Intelligence Institute of Paris (diiP), working in astroparticle physics and data science. Her research focuses on high-energy astrophysics, including gamma-ray and neutrino astronomy, with active involvement in major international collaborations such as H.E.S.S. and KM3NeT. She makes extensive use of open astrophysical datasets, including Fermi-LAT observations and public source catalogues, and develops advanced machine learning and deep learning strategies for large-scale data analysis in multimessenger astrophysics, with particular emphasis on physically informed models and robust statistical inference. Beyond her research, she serves as Director of the Graduate School Earth–Planet–Universe and led the creation of the “M2 Universe” Master’s programme, an interdisciplinary track at the interface of astroparticle physics, data science, and instrumentation. She teaches at undergraduate and Master’s levels, including courses in classical mechanics, subatomic physics, as well as Applied Data Analytics for PhD students. |
Francisco Villaescusa-Navarro
Simons Foundation, NY, USA
► AI agents for accelerating astronomical research and discoveries
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Francisco (Paco) Villaescusa-Navarro is a research scientist at the Flatiron Institute in New York City. He did his PhD at the University of Valencia in Spain. He held postdoctoral positions at the Astronomical Observatory of Trieste, Italy, and the Center for Computational Astrophysics in New York before becoming an associate research scholar at Princeton University, where he holds a visiting research scholar position. Paco is the main architect of the Quijote simulations, the largest suite of cosmological N-body simulations ever run. He is also part of the CAMELS core team that designed and ran the largest set of state-of-the-art hydrodynamic simulations to date. Paco is also the co-creator of Denario, and AI-research assistant designed to help researchers to accelerate scientific discovery. |
Morgan Fouesneau
Max Planck Institute for Astronomy, Germany
► "How astronomers use LLMs? Emerging results and ethical concerns from professional surveys" (TBC)
Angus H. Wright
Ruhr University Bochum, Germany
► "ML methods in Cosmology"
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Dr Angus H Wright is a Junior Research Group Leader in the German Centre for Cosmological Lensing at the Ruhr University Bochum, Germany. For the last decade, his research has focused on cosmological survey science, developing modern analysis methods and infrastructure for imaging surveys such as the Kilo-Degree Survey (KiDS) and the Euclid mission. These developments have focussed on improving the statistical and methodological rigour of analyses using weak gravitational lensing and photometric clustering (particularly by identifying and reducing systematic biases), and leverage modern supervised and unsupervised machine learning methods alike for this purpose. Outside of observational cosmology, Angus works on a number of galaxy evolution projects, including spectroscopic surveys such as 4MOST/WAVES, aiming to unravel the complexities of baryonic processes and their role in the formation of structure. Beyond his observational research, Angus is a keen astrostatistician, an animated outreach presenter, and an enthusiastic but nonetheless mediocre golfer. |
Vicky Kalogera
Northwestern University, CIERA Evanston, IL, USA
► "ML and Time Domain/Transient Astronomy" (TBC)
| TBC |
and more on the way...