CABALLERO

I am a computer vision researcher interested in the modelling of data that is scarce or expensive to acquire. As part of my work I have explored deep learning, compressed sensing and dictionary learning, and applied it to problems in social media, digital communications, medical imaging and neural recordings... In 2015 I joined Magic Pony Technology, which was later acquired by Twitter. During my time in Magic Pony I worked on the design and development of real-time super-resolution algorithms for mobile devices, and at Twitter I worked on methods for video compression and enhancement, as well as machine learning solutions to process media content... I completed my Ph.D. studies in the Biomedical Image Analysis (BioMedIA) group at Imperial College London under the supervision of Prof. Daniel Rueckert and Prof. Jo V. Hajnal. The objective of my work was to reduce magnetic resonance imaging scan time with compressed sensing reconstruction algorithms. Before this I completed an M.Sc. in..