Brasenose College, Oxford - Dr Eamonn A Gaffney
Name and title
Dr Eamonn A Gaffney
Brasenose Status
Official Fellow
Role or Position
University Lecturer and Tutorial Fellow in Applied Mathematics (Mathematical Biology).
Qualifications
PhD (Cambridge), MA (Cambridge).
Academic Background
I studied mathematics at The University of Cambridge, prior to a PhD in Mathematical Physics, followed by a Wellcome Trust Post-Doctoral Training Fellowship in Mathematical Biology at The University of Oxford. I proceeded to become a faculty member at The School of Mathematics, University of Birmingham for several years with duties ranging from lecturing to admissions tutor, in addition to research. I have recently returned to Oxford University to take up a faculty position in the Mathematical Institute and a tutorial fellowship at Brasenose College.
Undergraduate Teaching
Within college I give tutorials in applied mathematics for the first two years of the degree programme which supplements University lectures. As with all other colleges, mathematics undergraduates in later years attend University lectures, supported by intercollegiate classes. My university teaching currently consists of lecturing the thrid year course Mathematical Biology and Ecology plus giving intercollegiate classes in the Masters level course, Mathematical Physiology. I have previously taught and lectured across a broad range of applied mathematics, covering topics not only in my speciality of mathematical biology, but as diverse as special relativity, linear control theory and fluid dynamics.
Research Interests
My research is primarily in the general area of biological and biomedical applications of mathematics. Topics I am actively pursuing, and actively recruiting DPhil students for, include:
Modelling tumours and chemotherapy scheduling.
Pattern formation mechanisms especially on growing domains and, more recently, involving time delays.
Mathematical and Biological aspects of reaction diffusion systems. These range from mathematically based stability studies and to modelling transport phenomena on biologically realistic domains, captured by imaging.
Microbiological fluid dynamics including muco-ciliary dynamics and spermatozoa dynamics.
Models of cell movement, signalling and interaction.
Some recent publications
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