Bio
Camila Rangel Smith is a Senior Research Data Scientist at The Alan Turing Institute, where she is part of the Research Engineering Group. With extensive experience across diverse scientific domains, she has contributed to numerous interdisciplinary projects, applying her expertise in research software engineering and data science to ensure robust, open, and reproducible research outputs.
Examples of projects Camila has worked on during her time at Turing include modelling wastewater concentration during the COVID-19 pandemic, developing novel representation learning methods for scientific images, and creating software tools to analyse the time evolution of patterned vegetation in the Sahel using remote sensing.
Currently, Camila leads the hands-on research engineering activities in the Health Grand Challenge. She is a co-investigator on the CVD-Net project, which aims to design and build digital twin heart models for chronically ill NHS patients. In this role, she oversees the development of data and research infrastructure to enable the deployment of digital twins in secure research environments.
Camila holds a PhD in Particle Physics from Université Paris Diderot, where she worked on the ATLAS experiment at CERN and was part of the team that announced the discovery of the Higgs Boson in 2012. She continued her work on the ATLAS experiment as a postdoctoral researcher at Uppsala University, focusing on searches for physics beyond the Standard Model. Before joining the Turing, she worked as a Data Scientist in the EdTech sector, developing innovative products to transform the educational assessment process.
