Members | Scientific Computing at Durham

Faculty

Tobias Weinzierl Efficient implementation of multiscale methods, massively parallel computational fluid dynamics, parallelisation algorithms, HPC programming techniques. Twitter `[email protected]` Web
Massimiliano Fasi Computer arithmetic, numerical methods for linear algebra, benchmarks for HPC systems. Github `[email protected]`
Christopher Marcotte Computational physics, pattern formation, dynamical systems, high-performance computing, computational efficiency, and frequently where these topics intersect with cardiac dynamics. Github christopher.marcotte @durham.ac.uk
Laura Morgenstern Parallel programming paradigms, Performance portability for heterogeneous hardware, GPU computing Github `[email protected]`
Anne Reinarz Application science (mechanical engineering, astrophysics and seismology), numerical methods development (fast solvers, high performance computing), and uncertainty quantification. Github `[email protected]` Web
Chris Willcocks Machine Learning, Computational Geometry, Generative Models, Level-set Methods, and Machine Reasoning. Github `[email protected]` Twitter Web