Summary
Scott Hamilton is a Chartered Scientist and Technical Director with a PhD in Environmental Engineering and over 25 years’ experience delivering operational air pollution modelling and forecasting systems. As Knowledge Leader at Ricardo he directs a 30+ scientist team building WRF, CMAQ and bespoke dispersion systems, combining deep atmospheric science with software engineering to make complex simulations reproducible and decision-ready. He architects Linux-based HPC and cloud environments (Docker, Apptainer, Azure HPC, MPI) and uses Python daily to automate workflows, implement data assimilation and bias-correction (Kalman filters, CNNs), and produce interactive dashboards. He has led flagship, multi-year programmes across the UK, EU, Asia and the Middle East—including integrating meteorology, CTMs, nearfield/farfield and trajectory modelling into daily operational services—and co-developed the RapidAIR city-scale dispersion model. Known for mentoring the next generation of modellers, he also translates scientific outputs into engaging, actionable products (one of which inspired a physical 3D pollution sculpture nominated for a Kantar Information Is Beautiful award).
11 years of coding experience
3 years of employment as a software developer
PhD, Environmental Engineering, PhD, Environmental Engineering at Glasgow Caledonian University