Jose has an MPhys in Mathematical Physics from the University of Edinburgh. In his master’s project, he had the opportunity to work in a medical environment, studying the application of computational modelling and data analysis to nuclear imaging.

He believes that machine learning predictive algorithms in clinical environments have the potential to rapidly enhance the level of care available to patients. His interest in the intersection between data science and healthcare was sparked in his undergraduate degree, and his work on artificial intelligence and medical physics brought the PhD programme into his attention.

What Jose appreciates most about the programme’s foundation year is the ability to immediately contribute to impactful research and form meaningful academic relationships, within and outside his host university.

Away from his studies, he enjoys reading, chess and birdwatching.