Nik Cunniffe is accepting applications for PhD students.
University of Cambridge
Cambridge CB2 3EA
- University Lecturer in Mathematical Biology, Department of Plant Sciences, University of Cambridge (2009-)
- Official Fellow and College Lecturer in Natural Sciences (part-time), Girton College, University of Cambridge (2009-)
- Teaching Associate, Department of Plant Sciences, University of Cambridge (2008-2009)
- Associate Lecturer in Mathematics (part-time), The Open University (2008-2011)
- Principal Technical Consultant and European Research Manager, Autonomy Corporation (1998-2002)
- Analyst Programmer, Alphametrics Ltd. (1997-1998)
- PhD, Mathematical Biology, Department of Plant Sciences, University of Cambridge (2008)
- MSc, Modern Applications of Mathematics, University of Bath (2003)
- MPhil, Computer Speech and Language Processing, Department of Engineering, University of Cambridge (1997)
- BA Mathematics, St Catharine's College, University of Cambridge (1996)
Mathematical modelling of the spread, detection, evolution and control of plant and tree diseases. Theoretical work focuses on modelling disease spread, including stochastic and spatial models. Applied work concentrates on fitting simulation models to pathogen spread data, to understand how detection and control can be optimised, and on developing computational techniques for efficient simulation and parameterisation of spatially-explicit stochastic models at very large spatial scales. An online interface focusing on control of citrus canker and that is intended to illustrate the sometimes counter-intuitive epidemiological principles that underlie successful disease control is available at www.webidemics.com
Deliver lectures and practical classes for courses in all four years of the Natural Sciences course. Topics taught include: mathematics, mathematical modelling, statistics, plant disease epidemiology, theoretical ecology and computer programming in R and MATLAB. I also organise and deliver post-graduate training in Enabling New Ways of Working for the BBSRC DTP programme, and contribute to an annual course on infectious disease dynamics for the Wellcome Trust. In 2015 I was awarded the University's Pilkington Teaching Prize.
Cunniffe, N.J., Cobb, R.C., Meentemeyer, R.K., Rizzo, D.R. and Gilligan, C.A. (2016) Modeling when, where and how to manage a forest epidemic, motivated by sudden oak death in California Proceedings of the National Academy of Sciences
Thompson, R.N., Gilligan, C.A. and Cunniffe, N.J. (2016) Detecting presymptomatic infection is necessary to forecast major epidemics in the earliest stages of infectious disease outbreaks PLoS Computational Biology.
Thompson, R.N., Cobb, R.C., Gilligan, C.A. and Cunniffe, N.J. (2016) Management of invading pathogens should be informed by epidemiology rather than administrative boundaries Ecological Modelling
Cunniffe, N.J., Stutt, R.O.J.H., DeSimone, R.E., Gottwald, T.R. and Gilligan, C.A. (2015) Optimising and communicating options for the control of invasive plant disease when there is epidemiological uncertainty PLoS Computational Biology.
Cunniffe N.J., Koskella, B., Metcalf, C.J.E., Parnell, S., Gottwald, T.R. and Gilligan, C.A. (2015) Thirteen challenges in modelling plant diseases Epidemics.
For full list of publications, please see Google Scholar