Dr Lorena Escudero Sánchez

• 2003 – 2009: Physics Licentiate Degree and Masters in Cosmology and Particle Physics, Universidad de Salamanca
• 2009 – 2014: PhD in Neutrino Physics, University of Valencia
• 2019 – 2022: Research Associate, Department of Radiology, University of Cambridge
• 2022 – present: Senior Research Associate, Department of Radiology, University of Cambridge

Research

Lorena joined Queens’ in 2022. She is an interdisciplinary researcher, specialised in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Data Science, Image Analysis and software development, applying the scientific vision and experience gained as a Particle Physicist to develop advanced cancer imaging techniques that will make an impact on society. Lorena’s research focuses on developing novel AI methods for advanced analysis of radiological images for cancer research. She is especially interested in understanding the robustness and generalisability of image-based biomarkers such as Radiomic features, as well as novel methods for tumour segmentations and analysis. Lorena is also part of the NCITA repository team, and her role is to build and manage a local imaging repository in Cambridge.

University

Lorena is a Turing Fellow of The Alan Turing Institute, a Borysiewicz Interdisciplinary Fellow of the University of Cambridge, and a Fellow Commoner of Queens’ College Cambridge. She has been awarded numerous scholarships and awards, including the 2016 Breakthrough Prize in Fundamental Physics (as part of the T2K collaboration) and the PhD Award of Excellence by the University of Valencia.

Lorena now leads the Radiogenomics and Quantitative Image Analysis group at the Department of Radiology, University of Cambridge.