Management Committee

Management Committee

Director: Lawrence Mitchell

Picture of Lawrence Mitchell
Lawrence serves as Director of MISCADA. He is Assistant Professor in HPC/Scientific Computing in the Department of Computer Science at Durham University. His research is in high performance computing and computational mathematics. Hi recent focus has been in the development of compilers and software abstractions for the development of numerical models implemented using the finite element method. This research is concretely realised in the open source Firedrake project. He also works on preconditioning techniques for challenging problems in computational and atmospheric fluid dynamics.

Carlton Baugh

Carlton is Professor in the Department of Physics at Durham University and a member of the Institute for Computational Cosmology. is research interests include modelling the physics of galaxy formation and devising new ways to measure dark energy using the large-scale structure of the Universe. He is also member of the Euclid Consortium, the European Space Agency’s Dark Energy Mission, responsible for producing mock catalogues.

Ian Jermyn

Ian is Professor of Statistics in the Department of Mathematical Sciences at Durham University. His research concerns ‘statistical geometry’: both the statistical modelling of geometric structures such as shape, as well as the geometry of statistical space and its generalizations. This work is motivated by and has been extensively applied to large structured data, such as arise, for example, in computer vision.

Frank Krauss

Frank is a professor at the Institute for Particle Physics Phenomenology in the Department of Physics. His research centres around physics at the Larg Hadron Collider at CERN in Geneva. He is a specialist in event generators, Monte Carlo simulation programs that are used by experimenters and theorists to simulate particle collisions in the computer and that are used to analyse the data from the LHC and other similar experiments. Frank is the lead author of the Sherpa event generator.

Daniel Maitre

Daniel is an associate professor at the Institute for Particle Physics Phenomenology in the Department of Physics. His research centres around theoretical predictions for the Large Hadron Collider at CERN in Geneva. He specialises in Next-to-Leading Order prediction for large multiplicity processes and is particularly interested in developing the software necessary for this type of tasks.