Department of Radiology, University of Cambridge School of Clinical Medicine.
Email: les44@cam.ac.uk Tel.: + 44 01223 (3) 36893

Profile

Lorena Escudero Sánchez graduated from the University of Salamanca with a degree in Physics and a Master in Cosmology and Particle Physics. After a short time working at CERN, she then moved to Valencia with a FPU fellowship to complete her PhD in Neutrino Physics[1,2,3], working on the T2K experiment in Japan. In 2016 she moved to Cambridge and worked as a Research Associate at the Cavendish Laboratory, working mainly on pattern recognition algorithms and related software development[4, 5]. She has been awarded numerous scholarships and awards, including the 2016 Breakthrough Prize in Fundamental Physics (as part of the T2K collaboration)[6] and the PhD Award of Excellence by the University of Valencia. Lorena has also had roles of responsibility within worldwide collaborations, e.g. serving as reconstruction convenor and writing the reconstruction section of the Technical Design Report of the DUNE experiment[7], and has lead and managed international initiatives such as the “UK-Latin American Neutrino Initiative” (2018-2019)[8].

Current Research

Her current research interests focus on applying her experience in image analysis and machine learning to cancer research, with a strong advocacy for software development, and a keen interest in developing AI-methods. She is also part of the NCITA[9] repository team, and her role is to build and manage a local imaging repository in Cambridge:
https://ncita.xnat.radiology.medschl.cam.ac.uk

Professional Education

Degree	Awarding Institution	Field of Study
Bachelor	Universidad de Salamanca	Theoretical Physics
MSc	Universidad de Salamanca	Cosmology and Particle Physics
PhD CSIC +	Universidad de Valencia	Neutrino Physics

Selected Publications and References

1. K. Abe et al. (The T2K Collaboration), Measurements of neutrino oscillation in appearance and disappearance channels by the T2K experiment with 6.6E20 protons on target, Physical Review D 91, 072010 arXiv:1502.01550 [hep-ex]
2. L. Escudero (for the T2K Collaboration), Initial Probe of δCP by the T2K Experiment with νμ Disappearance and νe Appearance, Nuclear Physics B (Proceedings for ICHEP 2014)
3. L. Escudero (for the T2K Collaboration), Joint νμ Disappearance and νe Appearance Analysis at the T2K Experiment using a Frequentist Approach, Nuclear Physics B (Proceedings for ICHEP 2014)
4. MicroBooNE collaboration, The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector. Eur.Phys.J. C78 (2018) no.1, 82
5. https://github.com/PandoraPFA
6. K. Abe et al. (The T2K Collaboration), Observation of Electron Neutrino Appearance in a Muon Neutrino Beam, Physical Review Letters 112, 061802 (2014) arXiv:1311.4750 [hep-ex]
7. B. Abi et al. (The DUNE Collaboration), Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II DUNE Physics, (2020) arXiv:2002.03005 [hep-ex]
8. First UK-Latin America Workshop on Advanced Computing and Deep Learning https://indico.hep.manchester.ac.uk/conferenceDisplay.py?confId=5346
9. https://ncita.org.uk

GoogleScholar: https://scholar.google.com/citations?user=MdLoWrkAAAAJ&hl=en
ORCID ID: 0000-0003-3464-9206
Scopus Author ID: 37074354600
Researcher ID: G-2435-2018