Fluid turbulence is an extremely complex phenomenon, yet the ability to understand and predict it is vitally important to our understanding of natural and engineered systems. Today's computational tools for predicting turbulent flows allow us to predict weather and design better aircraft. My research interests lie in making those tools more accurate, robust and efficient. At present, I am working on turbulence/near-wall models and fast multigrid/multipole solvers for time-dependent PDEs.
Keywords: cfd turbulence scientific computing numerical analysis engineering physics aeronautics fluid dynamics
Also available at
2015-2015 Visiting Researcher, Advanced Supercomputing Division, NASA Ames, Mountain View, CA, USA
2013-2015 Postdoctoral scholar, Dept of Aeronautics and Astronautics, Stanford University, CA, USA
2011-2012 Visiting Researcher, Thermal Hydraulics Design Team, Rolls Royce Plc, Derby, UK
2008-2013 PhD student, Dept of Earth Sciences and Engineering, Imperial College London, UK
2007-2008 Graduate engineer, Ramboll UK Ltd.
2003-2007 Undergraduate+Masters in Mechanical Engineering, Manchester University, UK
I was born near London and grew up in Edinburgh. Proximity to the Scottish highlands meant that I grew to love the outdoors, in particular rock climbing and mountaineering. I have since travelled and climbed all over the world. My family and I moved to Sweden in 2015.
Please contact the directory administrator for the organization (department or similar) to correct possible errors in the information.