Prof. Gavin Gibson

Professor

+44 131 4513205

g.j.gibson@hw.ac.uk


CMF12

Heriot-Watt University

Edinburgh

EH14 4AS

http://www.ma.hw.ac.uk/~gavin

Biography


Prof. Gavin Gibson in an expert in stochastic modelling and statistical inference, particularly as applied in modelling the spread of epidemics and related spatio-temporal population processes. Particular expertise in modern Bayesian computational techniques as applied to problems of inference, experimental design and control in the context of nonlinear stochastic population processes. Current research is focussing on development of Bayesian techniques for the design of sampling schemes for spatio-temporal processes, using MCMC and model approximation methods such as moment closure to simplify likelihood calculations. Recent focus includes the development of computationally efficient strategies for testing complex spatio-temporal models. In addition he has over 20 years experience of working on collaborative research projects, with engineering, biological and medical scienctists. Extensive track-record of applying statistical modelling and inferential techniques to aid understanding of pathogens of humans, plants and animals. Engineering applications include the application of Bayesian techniques in laser imaging systems.

Scientific management and strategic planning: Experience of strategic planning and management at group, school and institutional level from a range of appointments including Deputy Director of BioSS (1994-2000), Acting Head of School of Mathematical and Computer Sciences, HWU (2006-7), Deputy Principal (Research & Knowledge Transfer) HWU (2007-9), Deputy Director Edinburgh Research Partnership in Engineering & Mathematics (2007-).

Projects


Building adapatation under a low-carbon future. Stochastic modelling of building energetics under climate change scenarios.


(Funded by EPSRC)


Systems study of safety aspects of laser targeting systems.


Integrated approach to the analysis of genetic and epidemic data.

Group Members


Dr. George Streftaris

Dr. Sandhya Patidar

Brian Flemming

Max Lao