Career
- 2022-date: Professor of Theoretical Particle Physics and Phenomenology, Department of Applied Mathematics and Theoretical Physics, University of Cambridge
- 2020-date: PI of ERC Starting Grant "Physics Beyond the Standard Proton"
- 2017-date: Sheila Edmonds Lecturer in Mathematics, Newnham College, Cambridge
- 2017-2022: University Lecturer, Department of Applied Mathematics and Theoretical Physics, University of Cambridge
- 2016-2023: Royal Society Dorothy Hodgkin Research Fellow
- 2014-2017: Senior Research Fellow, Magdalene College, Cambridge
- 2014-2016: Postdoc, Department of Physics, University of Cambridge
- 2013-2014: Postdoc, Department of Applied Mathematics and Theoretical Physics and Cavendish Laboratory, University of Cambridge
- 2010-2013: Postdoc, RWTH Aachen, Germany
Research
Maria Ubiali is a member of the Department of Applied Mathematics and Theoretical Physics High Energy Physics research group and The Cambridge SUSY Working Group based at the Cavendish Laboratory.
Maria is a particle phenomenologist. Her main research interests include Quantum Chromo Dynamics and Beyond Standard Model phenomenology, the precise determination of the structure of the proton using machine learning techniques and processes involving heavy particles.
Selected Publications
- “Hide and seek: how PDFs can conceal New Physics”
E. Hammou, Z. Kassabov, M. Madigan, L. Mantani, M. Mangano, J. Moore, M. Morales Alvarado, M.Ubiali
JHEP 11 (2023) 090 arXiv - “On the coupling of axion-like particles to the top quark”
F. Esser, M.Madigan, V. Sanz, M. Ubiali
JHEP 09 (2023) 063 arXiv - “The top quark legacy of the LHC Run II for PDF and SMEFT analyses”
(Z. Kassabov, M. Madigan, L. Mantani, J. Moore, Manuel Morales Alvarado, Juan Rojo, M.Ubiali
JHEP 05 (2023) 205 arXiv - “Resummation effects in the bottom-quark fragmentation function”
F. Maltoni, G. Ridolfi, M. Ubiali, M. Zaro
JHEP 10 (2022) 027 arXiv - "Parton distributions with scale uncertainties: a MonteCarlo sampling approach"
(Z. Kassabov, M.Ubiali, C. Voisey
JHEP03(2023)148 arXiv - “The dark side of the proton”
M. McCullogh, J. Moore, M. Ubiali
JHEP 08 (2022) 019 arXiv - “A new generation of simultaneous fits to LHC data using deep learning”
S. Iranipour, M. Ubiali
JHEP 05 (2022) 032 arXiv - ”The Path to Proton Structure at One-Percent Accuracy”
R. D. Ball, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, S. Iranipour, Z. Kassabov, J. I. Latorre, E. R. Nocera, R. L. Pearson, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali, C. Voisey, M. Wilson
Eur.Phys.J.C 82 (2022) 5, 428 arXiv - “An open-source machine learning framework for global analyses of parton distributions”
R. D. Ball, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, S. Iranipour, Z. Kassabov, J. I. Latorre, E. R. Nocera, R. L. Pearson, J. Rojo, C. Schwan, R. Stegeman, M. Ubiali, C. Voisey, M. Wilson
The European Physical Journal C 81, Article number: 958 (2021) arXiv - “Parton distributions in the SMEFT from high energy Drell-Yan tails”
A. Greljo, S. Iranipour, Z. Kassabov, M. Madigan, J. Moore, J. Rojo, M. Ubiali, C. Voisey
JHEP 07 (2021) 122 arXiv - “The strangest proton?”
F. Faura, S. Iranipour, E. Nocera, J. Rojo, M. Ubiali
Eur.Phys.J.C 80 (2020) 12 arXiv - “Single top in PDF fits”
E. Nocera, M. Ubiali, C. Voisey
JHEP 05 (2020) 067 arXiv - “A fragmentation-based study of heavy quark production”
G. Ridolfi, M. Ubiali, M. Zaro
arXiv: 1911.09075 - JHEP 01 (2020) 196 arXiv - “Parton Distributions with Theory Uncertainties: General Formalism and First Phenomenological Studies”
R. Abdul Khalek, R. D. Ball, S. Carrazza, S. Forte, T. Giani, Z. Kassabov, E. R. Nocera, R. L. Pearson, J. Rojo, L. Rottoli, M. Ubiali, C. Voisey, M. Wilson
Eur. Phys. J. C79 (2019) no.11, 931 arXiv - “Can New Physics hide inside the proton?”
S. Carrazza, C. Degrande, S. Iranipour, J. Rojo, M. Ubiali
Phys. Rev. Lett. Vol. 123, No. 13 Pg. 2001 arXiv
Publications
Parton distributions with scale uncertainties: a MonteCarlo sampling
approach
(2022)
The path to proton structure at 1% accuracy
– European Physical Journal C
(2022)
82,
428
A new generation of simultaneous fits to LHC data using deep learning
– Journal of High Energy Physics
(2022)
2022,
32
(doi: 10.1007/jhep05(2022)032)
SNOWMASS 2021 WHITEPAPER: PROTON STRUCTURE AT THE PRECISION FRONTIER
– Acta Phys.Polon.B
(2022)
53,
12
(doi: 10.5506/APhysPolB.53.12-A1)
Theoretical view on Heavy Flavour schemes
– Proceedings of Science
(2021)
397,
(doi: 10.17863/CAM.81367)
Higgs production in bottom-quark fusion: Matching beyond leading order
– Physics Letters B
(2021)
817,
136326
The strangest proton?
– European Physical Journal C: Particles and Fields
(2020)
80,
1168
Single top production in PDF fits
– Journal of High Energy Physics
(2020)
2020,
67
(doi: 10.1007/jhep05(2020)067)
A fragmentation-based study of heavy quark production
– Journal of High Energy Physics
(2020)
2020,
196
(doi: 10.1007/JHEP01(2020)196)
Parton distributions with theory uncertainties: general formalism and first phenomenological studies
– European Physical Journal C
(2019)
79,
931
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