Management Committee

Management Committee

Director: Tobias Weinzierl

Tobias serves as Director of MISCADA. He is Associate Professor in HPC/Scientific Computing in the Department of Computer Science at Durham University. His objective in research is to find novel algorithms and clever implementations for applications from scientific computing that today are too hard to solve, as existing solvers lack the required computational efficiency, hardware-awareness, anticipation of data structuredness and distribution, ability to handle the required data cardinality, or software maturity. The research shall enable others to simulate physical phenomena or study engineering challenges with unprecedented speed, accuracy and details.  Tobias is particularly interested in dynamically adaptive multi-scale methods based upon space-trees that interact with multi-grid solvers for elliptic and parabolic partial differential equations, that host particle systems with particles of varying cut-off radii or size, or carry Finite Volume-like discretisation. He is involved in several scientific open-source projects.

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.