We are a Cambridge research group at the Institute of Astronomy using cutting-edge artificial intelligence (AI) to advance our understanding of the Universe. We develop sophisticated algorithms, powered by Bayesian inference, to analyse data from a variety of sources, including telescopes, particle colliders, and gravitational wave detectors.
Our research focuses on extracting information from complex datasets to address fundamental questions in cosmology and astrophysics. We work with state-of-the-art simulations, created by our collaborators, to test and refine theoretical models, uncovering the secrets of dark matter, dark energy, and the fundamental laws of physics.
Our team is dedicated to pushing the boundaries of astrophysical analysis, using AI to unlock new discoveries and shed light on the Universe’s greatest mysteries.
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Scaling laws for large time-series models: More data, more parameters
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Beyond Gauss? A more accurate model for LISA astrophysical noise
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Hybrid Summary Statistics: Telling Neural Networks Where to Look
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7th Global 21-cm Workshop
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The 7th Global 21cm Workshop: Technical summary
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Predicting spatial curvature in globally CPT-symmetric universes