Watch his 2015 talk: "Data Science at Work"
Peter Grindrod is a British mathematician. He was awarded a CBE in 2005 for services to mathematics R&D. He is a former member of the EPSRC Council (2000–04) and chair of the EPSRC’s User Panel. He is a former president of the Institute of Mathematics and its Applications, the UK’s professional and learned society for mathematicians (2006–08). He is also former member of BBSRC Council (2009–13). He is an independent member of the MOD DSAC (2008– ).
He began working in the theory and application of reaction diffusion equations. He obtained a degree in maths from the University of Bristol (1981) and a PhD from the University of Dundee (1983), after which followed a short period of post doctoral research in dynamical systems and nonlinear PDEs at Dundee. Between 1984 and 1989 he worked at the Mathematical Institute at the University of Oxford, largely on both applications of modelling within physiology and biology.
In 1989 he joined a commercial consulting company working in the environmental sciences, building up a mathematical modelling group on multidisciplinary projects in the UK, Europe, US and Japan. His research ranged from the application of fractals to simulating subsurface environments (micro medium structure controlling channelling flow and dispersion phenomena at the macroscopic scale), and non-linear multiphase (solutes, gases, and especially colloidal) dispersion processes, fully coupled chemical-temperature–hydration systems, through to the development of frameworks for estimating uncertainties within risk assessments, and the analysis of public risk perception.
In 1998 he was co-founder and Technical Director of a start–up company, Numbercraft Limited, supplying services and software to retailers and consumer goods manufacturers. The need to extract structure and information, rapidly, and exhaustively, from large commercial data sets drove this. He worked with all of the major grocery retailers in the UK and their largest suppliers. Numbercraft, designed as a five year project, was acquired by Lawson Software (St Paul, US) in 2003.
He has developed models and methods for analyzing large networks (range dependent random graphs) occurring within the biosciences, such as in genome, proteome and metabolome interactions. He is interested in applications of mathematics to phenomena in the Digital Economy, and within neurodynamics. He is working on methods for analysing very large and evolving graphs/networks, including forecasting, inference and intervention problems. These have applications to large communication (telco, email social) networks - especially in monitoring marketing and intervention applications (including CT, cyber, and radicalisation modelling)
He is a Professor of Mathematics at the Mathematical Institute at the University of Oxford (2013– ).