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11 October 2013

Professor Mark Chaplain appointed Ivory Chair of Applied Mathematics

Photo shows Professor Stephen Decent (left) with Professor Mark Chaplain (right)

Photo shows Professor Stephen Decent (left) with Professor Mark Chaplain (right)

Professor Mark Chaplain, a leading figure in mathematical biology, has been appointed the Ivory Chair of Applied Mathematics at the University of Dundee.

The Ivory Chair of Applied Mathematics was founded at Queens College, Dundee in 1964. The Chair's name commemorates the distinguished Dundee-born mathematician Sir James Ivory (1765-1842). Previous holders of the post have been Professor Douglas Jones, from 1965 to 1992, and Professor Brian Sleeman, from 1993-1995.

Professor Chaplain graduated from the University of Dundee with a degree in Applied Mathematics in 1986 and a PhD in 1990 and has worked within the Division of Mathematics of the School of Engineering, Physics and Mathematics since 1996, firstly as a Senior Lecturer, then as Reader. He has been Chair in Mathematical Biology since 2000.

'Mark's reputation as a researcher and leader in applied mathematics is undoubtedly stellar,' said Professor Stephen Decent, Vice-Principal and Head of the College of Art, Science and Engineering.

'The insight and elegance of his research in mathematical biology, tumour growth and angiogenesis is truly outstanding. Mark is also a great colleague for us here in Dundee. Recently he has attracted some brilliant early career staff into applied mathematics at Dundee, and I feel very fortunate to have Mark here as part of the University.'

Professor Chaplain said, 'I feel very honoured to receive the Ivory Chair, particularly given the rich history behind it. Working at the University of Dundee, in the field of mathematical biology, is the ideal environment for what I do, and I get to collaborate with top class researchers, scientists and clinicians.'

Mathematical biology is an increasingly important field of applied maths. Much of Professor Chaplain's work focusses on how mathematical modelling may be used to predict the growth and spread of cancer tumours.


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