Research output per year
Research output per year
Dr
TW20 0EX
I am an Associate Professor in the Department of Physics, where I research AI-driven methods for scientific discovery. My work places uncertainty quantification at the heart of how we learn from data — developing machine learning and Bayesian methods that do not just give answers, but tell us how much we should trust them.
I have been awarded a Leverhulme Research Leadership Award to establish ECLIPSE — the Environment for Computational Learning, Interdisciplinary Physics and Scientific Excellence. This new research centre will develop new frameworks for scientific inference that enable robust, uncertainty-aware conclusions from data, uniting two seemingly disparate frontiers under a shared methodological umbrella:
- Cosmology — probing the nature of dark energy and testing Einstein's gravity across the largest scales in the Universe
- Seismology — understanding how earthquakes rupture and propagate through the Earth.
I am the creator of COSMOPOWER, an open-source machine learning framework widely used to accelerate cosmological inference by orders of magnitude -- for example, what once took 5 months of supercomputer time now takes 9 hours, with each analysis saving approximately 76 tons of CO₂ (equivalent to the annual energy consumption of 16 homes). COSMOPOWER has been adopted by leading international collaborations including ACT, SPT, Simons Observatory, KiDS, and ESA's Euclid satellite mission.
I play a central role in the scientific exploitation of ESA's Euclid satellite — a billion-euro space mission launched in 2023 to uncover the secrets of the dark Universe. My contributions have been recognised with the status of Euclid Builder, awarded "for extraordinary efforts critical to the success of Euclid". I hold three major leadership positions:
I lead the AI for Science theme within Royal Holloway's Centre for AI and Skills, fostering collaboration across Engineering, Mathematics, Physics, Earth Sciences, and Computer Science.
I serve on the STFC Computing Advisory Panel, advising the UK government on national strategy for digital research infrastructure and AI in science.
Find my publications on Google Scholar, Inspire HEP and arXiv.
- Email: [email protected]
- Website: www.alessiospuriomancini.org
- LinkedIn: www.linkedin.com/in/alessiospuriomancini
Physics & Astronomy, Ph.D., Heidelberg University
Oct 2015 → Oct 2018
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Spurio Mancini, A. (PI)
1/04/26 → 31/03/31
Project: Research
Ashton, G. (PI) & Spurio Mancini, A. (CoI)
1/07/25 → 30/06/28
Project: Research