Personal profile
Research interests
I am a Lecturer 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.
My Vision: ECLIPSE
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.
Impact: Transforming What's Computationally Possible
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.
Leadership in Euclid
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:
- Lead of the DR1 Key Project — responsible for flagship constraints from Euclid's first Data Release
- Lead of the 3x2pt Work Package — delivering Euclid's headline cosmology results
- Lead of the Simulation-Based Modelling Work Package — developing AI tools to maximise Euclid's scientific return.
Broader Engagement
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.
Publications
Find my publications on Google Scholar, Inspire HEP and arXiv.
Contact
- Email: [email protected]
- Website: www.alessiospuriomancini.org
- LinkedIn: linkedin.com/in/alessio-spurio-mancini-70187a19a
Education/Academic qualification
Physics & Astronomy, Ph.D., Heidelberg University
Oct 2015 → Oct 2018
Keywords
- Astrophysics
- Cosmology
- Machine learning
- Statistics
Expertise related to UN Sustainable Development Goals
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):
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SDG 7 Affordable and Clean Energy
Collaborations and top research areas from the last five years
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Euclid: An emulator for baryonic effects on the matter bispectrum
Burger, P. A., Arico, G., Linke, L., Angulo, R. E., Broxterman, J. C., Schaye, J., Schaller, M., Zennaro, M., Halder, A., Porth, L., Heydenreich, S., Hudson, M. J., Amara, A., Andreon, S., Baccigalupi, C., Baldi, M., Balestra, A., Bardelli, S., Biviano, A. & Branchini, E. & 136 others, , Jan 2026, In: Astronomy and Astrophysics. 705, 25 p., A170.Research output: Contribution to journal › Article › peer-review
Open Access -
Euclid preparation: LXXVIII. Full-shape modelling of two-point and three-point correlation functions in real space
Guidi, M., Veropalumbo, A., Pugno, A., Moresco, M., Sefusatti, E., Porciani, C., Branchini, E., Breton, M.-A., Quevedo, B. C., Crocce, M., Torre, S. D. L., Desjacques, V., Eggemeier, A., Farina, A., Kärcher, M., Linde, D., Marinucci, M., Dizgah, A. M., Moretti, C. & Pardede, K. & 290 others, , 17 Mar 2026, (E-pub ahead of print) In: Astronomy and Astrophysics. 707, 21 p., A228.Research output: Contribution to journal › Article › peer-review
Open Access -
Euclid preparation: LXXXIV. The flat-sky approximation for the clustering of Euclid's photometric galaxies
Matthewson, W. L., Durrer, R., Camera, S., Tutusaus, I., Altieri, B., Amara, A., Andreon, S., Auricchio, N., Baccigalupi, C., Baldi, M., Bardelli, S., Battaglia, P., Biviano, A., Branchini, E., Brescia, M., Cañas-Herrera, G., Capobianco, V., Carbone, C., Cardone, V. F. & Carretero, J. & 259 others, , 17 Mar 2026, (E-pub ahead of print) In: Astronomy and Astrophysics. 707, 13 p., A234.Research output: Contribution to journal › Article › peer-review
Open Access -
Euclid preparation: LXXXV. Toward a DR1 application of higher-order weak lensing statistics
Vinciguerra, S., Bouchè, F., Martinet, N., Castiblanco, L., Uhlemann, C., Pires, S., Harnois-Déraps, J., Giocoli, C., Baldi, M., Cardone, V. F., Vadalà, A., Dagoneau, N., Linke, L., Sellentin, E., Taylor, P. L., Broxterman, J. C., Heydenreich, S., Sreekanth, V. T., Porqueres, N. & Porth, L. & 266 others, , 17 Mar 2026, (E-pub ahead of print) In: Astronomy and Astrophysics. 707, 25 p., A235.Research output: Contribution to journal › Article › peer-review
Open Access -
A complete framework for cosmological emulation and inference with CosmoPower
Jense, H. T., Harrison, I., Calabrese, E., Spurio Mancini, A., Bolliet, B., Dunkley, J. & Hill, J. C., 2025, In: RAS Techniques and Instruments. 4, 23 p., rzaf002.Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 2 Active
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ECLIPSE: Building a new paradigm for scientific inference under uncertainty
Spurio Mancini, A. (PI)
1/04/26 → 31/03/31
Project: Research
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INTIME: Inferring the timing properties of neutron stars with hierarchical profile-domain timing
Ashton, G. (PI) & Spurio Mancini, A. (CoI)
1/07/25 → 30/06/28
Project: Research