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Joined 2025-03-26
Joshua works on machine learning and computational physics, with a focus on building the open-science roadmap for specialised foundation models that can reason over multimodal astrophysical data.
Joined 2025-03-26
Roberto contributes particle- and astroparticle-physics expertise, grounding the workshop roadmap in problems where multimessenger evidence and physical constraints are central.
Joined 2025-05-19
Sascha develops and applies machine learning methods across fundamental physics, helping shape the technical and collaboration plan for open, physics-aware foundation models.
Joined 2025-05-19
Francisco brings expertise in cosmology, astrophysics, simulations, and data-driven modelling, helping connect foundation-model capabilities to concrete cosmological and simulation use cases.
Joined 2025-05-19
Gabrijela works on astroparticle physics, gamma-ray astronomy, and multiwavelength and multimessenger dark matter searches, bringing key scientific use cases for anomaly detection and multimodal reasoning.
Joined 2026-09-13
Carlos F. Sopuerta is a theoretical physicist at the Institute of Space Sciences (ICE-CSIC), specialising in relativistic astrophysics and gravitational-wave astronomy. His research spans source modelling, numerical relativity, and data analysis for space-based observatories such as LISA. He is particularly interested in AI methods for disentangling overlapping gravitational-wave signals, enabling precise measurements of source properties and tests of black-hole geometry and general relativity.
Joined 2026-09-16
Space Scientist - Working on NASA's Cassini data, Near-Earth Objects, Meteors and Cosmic Dust in general. Monte-Carlo simulations and AI-driven data analysis, classification & instrument calibration
Joined 2026-09-16
Hertzog Landman Bester works on radio interferometric imaging and computational methods for radio astronomy. His work includes Bayesian image reconstruction, radio-continuum surveys, and imaging software for radio interferometers.
Joined 2026-09-16
I am a Ramón y Cajal Research Fellow at the Universidad Autónoma de Madrid (UAM), specialised in cosmic-ray physics, dark matter searches, and diffuse astrophysical emissions. I am one of the lead developers of the DRAGON2 code — a state-of-the-art numerical framework for cosmic-ray transport and interactions — and serve as coordinator of the Dark Matter & Diffuse working group within the Fermi-LAT collaboration. My research addresses searches for exotic physics in astroparticle data, cosmic-ray propagation in astrophysical plasmas, antimatter production in the Galaxy, and MeV astronomy.
Joined 2026-09-16
Gravitational wave & multi-messenger detection and inference.
Joined 2026-09-16
Daniela Huppenkothen develops statistical and machine-learning methods for time-domain and high-energy astrophysics. Her work includes X-ray spectral timing, simulation-based inference, and representation learning for transient sources such as fast radio bursts.
Joined 2026-09-16
Hi! I am a postdoctoral researcher at Heidelberg University's Institute for Theoretical Physics, focusing on reionization-era cosmology. My research interests include physically motivated reionization models and machine learning methods that enable faster, more robust parameter estimation to exploit upcoming datasets.
Joined 2026-09-16
I am an astronomer with experience in solar physics, exoplanets, remote sensing of the Earth's atmosphere and the design and development of innovative optical instruments. I am currently the director of the US National Solar Observatory.
Joined 2026-09-16
David brings insight into data processing and the construction of end-to-end pipelines for the training and evaluation of machine learning models. He works with various data sources on galaxy clusters.
Joined 2026-09-16
Associate Professor of Statistics and Data Science; NSF-Simons SkAI Institute Senior Personnel
Joined 2026-09-16
Mike is an AstroAI fellow at the Harvard-Smithsonian CfA. He is interested in foundation models for astronomy and other observational sciences, as well as building infrastructure that democratizes and eases access to these models.
Joined 2026-09-16
Judith Sáinz-Pardo holds a PhD in Science and Technology from the University of Cantabria, with a background in Mathematics and a Master's in Data Science. She is a Postdoctoral Researcher at the Advanced Computing and e-Science Group at the Institute of Physics of Cantabria (IFCA). She has worked in several European projects focused on AI, secure data management, AI-readiness, etc, including EOSC ARENA (serving as scientific coordinator), FLUID-AI, EOSC SIESTA, and AI4EOSC.
Joined 2026-09-16
Philip Weigel is based at Harvard University and works on neutrino physics.
Joined 2026-09-17
I am a postdoc in gravitational wave data analysis using machine learning.
Joined 2026-09-17
Judit Pérez Romero is a junior researcher at IFIC CSIC/UV in Valencia, specialising in indirect dark matter searches with gamma-ray observations from Fermi-LAT and CTAO. Her work combines gamma-ray data analysis, cosmic-ray astrophysics, and modelling of diffuse emission to constrain dark matter properties across complementary targets and instruments. She develops machine-learning and deep-learning methods for gamma-ray analysis and coordinates scientific groups within Fermi-LAT, CTAO, and EuCAIF. Through the consortium, she aims to advance data-driven, multi-instrument approaches to astrophysical discovery.
Joined 2026-09-18
Sebastian Khan works on gravitational-wave modelling and inference, with a focus on signals from merging black holes. His research includes precessing-binary waveform models, numerical-relativity simulations, probabilistic modelling, and neural-network surrogate models.
Joined 2026-09-18
I am interested in high-energy astrophysics: Cosmic-rays, neutrino, and gamma-ray sources. I do simulation-based inference for multi-messenger astronomy.
Joined 2026-09-18
Sandeep Madireddy is a computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, and a core member of the NSF-Simons SkAI Institute. His research spans multimodal and large-scale generative AI applied to diverse scientific data modalities, evaluation and safety of frontier AI models, inference-time and adaptive compute for resource-efficient reasoning, and uncertainty quantification.
Joined 2026-09-18
Antonin has a passion for fundamental physics with expertise in experimental neutrino physics. He has been applying deep learning methods for a decade on various datasets and problems ranging from particle-detector reconstruction to applications in the nuclear sector.
Joined 2026-09-19
Christopher Eckner is an astroparticle physicist at the Instituto de Astrofísica de Canarias. His research focuses on indirect dark matter searches and gamma-ray astronomy, including studies of the Galactic Centre and prospects for the Cherenkov Telescope Array Observatory. He also works on simulation-based inference and neural-network methods for analysing gamma-ray sources and pulsar populations.
Joined 2026-09-22
Astrophysicist turned data and AI scientist, I am a research engineer at CNRS/LAPP working at the interface of astroparticle physics, machine learning and scientific software. Over the past years, I have led the development of GammaLearn, a research programme focused on deep learning for the reconstruction of Imaging Atmospheric Cherenkov Telescope data, in particular for CTAO/LST-1. I am also deeply involved in Open Science and research software quality and publication through several European projects.
Joined 2026-09-25
I work on particle physics phenomenology and dark-matter physics with emphasis on improvement on theoretical predictions, and accelerating discovery prospects with AI methods.
Joined 2026-09-30
Physicist with a PhD in Communications and a background in astrophysics and theoretical physics. My research interests focus on neutrino physics, particle astrophysics, and scientific computing, with particular emphasis on numerical simulations, statistical inference, and machine-learning methods.
Joined 2026-10-01
Gijs worked on Machine Learning for Astrochemical Modeling as part of his PhD. He now works at SURF, which houses the National Dutch HPC facility, where he focuses on AI4Science.
Joined 2026-10-12
Aleksandra Ciprijanovic is a scientist at Fermilab specializing in artificial intelligence and machine learning for astrophysics, cosmology, and particle physics. Her research focuses on developing robust, interpretable, and uncertainty-aware AI methods that can generalize across diverse scientific datasets, enabling reliable scientific discovery from complex observational data and simulations.
Joined 2026-10-13
I am a theoretical physicist working in the field of cosmology. My work focuses on developing new simulations and numerical tool for theoretical cosmology, with the goal of building connections between theory and observations.
Joined 2026-10-21
Bhashin A. Thakore studies dark matter and high-energy astrophysics, focusing on cross-correlations between the unresolved gamma-ray background and large-scale cosmic structure. This work investigates the sources of diffuse gamma-ray emission and possible dark matter contributions, including primordial black holes.
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