IACDEEP -
Machine Learning Group at IAC

About

The IAC-DEEP group is dedicated to the development and application of machine learning (ML), deep learning (DL), and artificial intelligence (AI) techniques for the analysis and interpretation of astrophysical data and beyond. Our research covers a broad range of topics, from solar physics to galaxy evolution and cosmology expanding to bio-medicine projects.

Our group is engaged both in national and international level projects and collaboration. We have access to state-of-the-art computational facilities in Spain and internationally, enabling us to tackle complex astrophysical problems with cutting-edge machine learning techniques. Our team includes key members and leading contributors in major astronomical collaborations such as Euclid, DESI, and JWST, where we play an active role in data analysis and scientific exploration.

By integrating advanced computational techniques with observational and theoretical astrophysics, we aim to optimize data processing, refine predictive models, and uncover new insights from large astronomical datasets and simulations, pushing the frontiers of modern astrophysics.

Team Members

Marc Huertas-CompanyFacultyGalaxy Evolution
Andrés Asensio-RamosFacultySolar Physics
Carlos WestendorpFacultyMulti Disciplinary ML applications
Jesús Falcón-BarrosoFacultyGalaxy Evolution
Ignacio FerrerasFacultyGalaxy Evolution
Christopher BrookFacultyGalaxy Evolution
Arianna Di CintioFacultyGalaxy Evolution
Tobías Felipe GarcíaPostDocSolar Physics
Malgorzata SiudekPostDocGalaxy Evolution
Andrés Vicente ArévaloPostDocSolar Physics
JunaisPostDocGalaxy Evolution
Eirini AngeloudiGrad StudentGalaxy Evolution
Patricia Iglesias-NavarroGrad StudentGalaxy Evolution
Elena García BroockGrad StudentSolar Physics
Eduardo Albuquerque HartmannGrad StudentGalaxy Evolution
Marina DunnGrad StudentGalaxy Evolution
Jorge M. Sarrato AlósGrad StudentGalaxy Evolution
Andrés Vicente ArévaloPostDocSolar Physics

Meetings

Featured Research