Experienced aerodynamicist, data analyst and computer programmer. Interests including: flow control, plasma actuators, synthetic jets, machine learning, surrogate modelling and robotics.
Delivering the teaching and learning content for undergraduate modules including: Numerical and analytical dynamics (with Python), Vehicle performance modelling and Vehicle aerodynamics. Conducting research into aerodynamics with machine learning applications, current research interests include: vehicle platooning and control, machine learning surrogate modelling for experimental data, synthetic jet and plasma actuators.
Developing sophisticated, predictive models of the aerodynamics of the formula one car. Creating software tools to for visualisation and analysis of wind tunnel data, with exposure to C++, C# and Python. Applying machine learning techniques to large wind tunnel datasets in order to improve race car performance. Designing, wind tunnel testing and analysing aerodynamic components of the race car.
Researching synthetic jet actuators and their application to aerodynamic flow control. Commissioning and ongoing development of the low speed aerodynamics wind tunnel at the University of Surrey. Writing and maintaining data acquisition and analysis software for complex turbulent flow measurement.
First Class (Hons)
Outside my work interests, I enjoy being outdoors and being active. I am a keen cyclist and dinghy sailor and like nothing more that walking around the Northumberland coastline and countryside.
I also like to take my progamming interests home with me, I like playing with robotics, analysing data and creating interesting visualisations. I'm a very amateur pianist.