Working on real-life problems is one of the primary reasons why I decided to pursue a career in applied mathematics. As a versatile modeller with a strong computing background, I often find myself trying to put developed methodologies to good use or designing new ones for areas that would benefit from quantitative insight. I have started in this spirit early on in my undergraduate degree at the Fraunhofer MeVis centre for medical imaging. This line of activity became even stronger with regular participation in European Study Groups with Industry (my first of many was in ESGI93 2013 in Limerick), Mathematical Problems in Industry workshops and active involvement in the InFoMM CDT programme in Oxford.
Up to this stage I have been involved in:
Supervision of M.Sc. and doctoral level projects with partners such as Thales Aerospace and Elkem.
Some of the companies I have worked with in the past or are currently engaged with are on the right hand side.
I welcome the opportunity to work with new partners on interesting problems in a variety of formats, be they on the basis of collaborative funding options or direct engagement. Please get in touch should you wish to explore further.
Areas of expertise
High-speed flows and multi-scale particle/droplet trajectory modelling
Jet break-up, atomisation and sprays
Asymptotic and numerical methods for interfacial flows (drops, bubbles, thin films)
Electrohydrodynamics and multi-physics modelling in microfluidics
Queueing theory, agent-based models and transition to continuum approaches
More generally, applied mathematical techniques using differential equations and discrete event simulation models with an established cross-disciplinary record
Recent projects have had an increasingly vibrant large scale data processing, analysis and visualisation component, which are areas I am keen to get expand on in the future.
In terms of computational expertise, I have 15+ years of training and activity as part of several world-class institutions and societies across a number of UNIX and Windows environments in 20+ programming languages (with C/C++, Python and Matlab being most common). I prefer developing starting from well-established open-source packages (such as Basilisk and oomph-lib for physical systems modelling), however have been successful in integrating modules in large scale commercial or in-house software environments as well depending on the needs of the specific project.