Elisenda Bonet-Carne, PhD

I am a research associate at UCL, at the Centre for Medical Image Computing (CMIC), more concretely I am part of the Microstructure Imaging Group. I am investigating non-invasive image-based biomarkers for preterm delivery risk characterisation. Prior to my current role, was working on computational modelling of quantitative MRI as non-invasive biomarkers for prostate cancer at the the Centre for Medical Imaging (CMI) as well as CMIC. My research interest focuses on how computational models can be used to better predict different diseases and how this knowledge can improve clinical practice.

I studied Telecommunication Engineering  (5 years program, equivalent to Computer Science B.Sc. and M.Sc.) at Polytechnic University of Catalonia (UPC 2002-2009), followed by an M.Sc. in Neuroscience at University of Barcelona (UB 2009-2011). Afterwards, I did my Ph.D. in Biomedicine at UB (2011-2014), developing imaging biomarkers in order to predict perinatal clinical outcomes. Simultaneously, I was working in a Biotech company as Chief Technology Officer, where using the scientific concepts explored in my thesis, new software to predict neonatal respiratory morbidity, quantusFLM, was developed.