Harry Ayton

Background

About Harry Ayton

I am an Engineer, based in Cambridge, UK, with an interest in Computational Modelling, Simulation and R&D. I love tackling challenging engineering problems, learning and applying new technologies, and delivering robust data-driven solutions. My background spans R&D, process engineering and data science, giving me a wide perspective on critical thinking and problem-solving.My Experience- R&D: PhD in Chemical Engineering, focussing on stiff paste extrusion, integrating experimental testing with Finite Element Analysis to understand complex material behaviour- Data Science: Experience analysing data and developing algorithms in a various domains, including medical imaging, patent analytics and algorithm development. I typically use the Python Programming language with scientific and data science packages. I enjoy generating insights and building tools supporting technical decision-making- Process Engineering: Experience as a process engineer in the water industry, contributing to simulation studies and technical consulting projects, helping wastewater utilities adopt more efficient and sustainable operational practices - saving time and cost while improving system performance.My Skills- R&D: Materials testing, rig design, Finite Element Analysis (FEA) studies, data analysis, interpretation and visualisation- Data Science: Python and data science packages, including NumPy, SciPy, Scikit-Learn, Matplotlib, etc; Microsoft Excel and Excel VBA; Microsoft PowerBI; MATLAB- Simulation & Modelling: ABAQUS/Explicit, AutoCAD, OpenFOAM (basic), FreeCAD (basic). I am particularly interested in expanding my expertise in computational fluid dynamics (CFD) and working on technical challenges combining simulation, physics-based modelling and applied research.