The mission of London Computational Solutions is to deliver high order CFD technology to commercial engineering challenges. Our goal is to resolve turbulence to provide an accurate design tool that can displace wind tunnels.
We apply our skills and experience to effectively deliver aerodynamic design solutions and performance to meet your ambitions.
Mark undertook his doctorate in 3D boundary layer laminar-turbulent transition prediction techniques for supersonic transport swept wings (what should have been Concorde's replacement) in Cambridge and then joined Rolls-Royce Aerospace (RR) to design jet engine compressors. He followed this with a spell in the RR Aerothermal Methods team developing and applying aerodynamics and structural design techniques in all areas of jet engine technology. Mark has also worked on turbo-chargers, combustion, oil tankers, HVAC and acoustics and for 12 years Formula 1 Racing cars at McLaren Racing (winning 44 races out of a total of 207). He has a track-record and passion for developing new fluid dynamics numerical techniques and rapidly deploying them in the real world environment to improve product performance. Mark is also a FAST runner (the reason he thinks we made him CEO), with a 10.8s 100m to his name but he tends to be a little cagey when asked if he can still do it in this time.
Spencer Sherwin is Professor of Computational Fluid Mechanics in the Aeronautics Department at Imperial College London. He is a world leading expert in the development and application of high order methods applied to aeronautical, automotive and biomedical flows completing his doctorate in Princeton. He leads a team of researchers focusing on the development and application of parallel spectral/hp element techniques for solving partial differential equations, applying these techniques using direct numerical simulation and stability analysis to a range of applications including biomedical flows and separated/bluff body flows of relevance to offshore engineering and vehicle aerodynamics. Spencer definitely has the FAST thing nailed, his Chair is sponsored by a Formula 1 team.
David's research interests centre on the development and composition of high level abstractions for scientific computation, particularly geophysical fluids. His interests span computational and computer science and include both new numerical schemes and novel approaches to their implementation. David's most recent work is on the automatic generation of finite element models for the portable solution of partial differential equations. David was awarded the 2015 Wilkinson Prize for Numerical Software. He is also our resident polymath with a first degree in both Mathematics and Law as well as fluency in 3 languages and a strong affection for the Opera.