Daniel Toy

PhD engineer specialising in thermal systems, fluid mechanics, and energy system modelling, with proven experience developing and validating transient models for dynamical systems. Skilled in translating complex thermodynamic and transport phenomena into analytical, CFD-linked models that inform control and optimisation.

PhD

• Conducted analytical, computational, and experimental research on energy efficiency, air quality, and airflow optimisation.
• Coded software for data analysis, optimisation, uncertainty quantification and visualisation.
• Published 3 first-author, peer-reviewed papers in leading journals.

• Built techno-economic models to advise on multi-million-pound renewable energy projects, linking chemical process models to financial outputs.

University of Cambridge – PhD, Department for Energy and Environmental Flows

University of Cambridge – MEng & BA, Chemical Engineering