The University’s cohort of fellows comprises researchers from 14 departments spanning the Mathematical, Physical, and Life Sciences (MPLS), Social Sciences and Medical Sciences divisions. Some have been closely involved with the Alan Turing Institute – the UK’s national institute for data science and AI – since its creation in 2015, when Oxford was one of the five founding university members; for the rest, the Fellowship is their first formal association with the Institute.
Fellows’ research interests range from the fundamentals of AI and development of novel methods to cutting-edge application of data science to real-world challenges in areas from seismology and volcanology to immunology, neuroscience, mental healthcare, and finance.
The 400 fellows announced by the Alan Turing Institute are drawn from across its 13 partner universities and are established scholars with proven research excellence in data science, artificial intelligence, or a related field. They contribute to new ideas, drive collaborative projects that deliver impact, and help to grow the institute’s research capacity and its diverse network of partner organisations.
Institute Director and Chief Executive Adrian Smith said: ‘It gives me great pleasure to welcome this new group of Fellows. This cohort is incredibly multidisciplinary and diverse. They will bring a rich range of expertise and ensure we continue to do world-leading, impactful research.’
A list of fellows from Reuben College, University of Oxford is as follows:
Professor David Clifton, Professor of Clinical Machine Learning
Dr Ani Calinescu, Associate Professor
Dr Benjamin Schuster-Böckler, Principal Investigator
