Selected Work
Six projects spanning Horizon Europe, the Royal Society, the Alan Turing Institute, and industry partners including Rolls-Royce and Hitachi Astemo. Each one sits at the same intersection: applied engineering research turned into something a manufacturer can actually use.
Micro-FloTec: Advanced Heat Transfer Technologies
Horizon Europe (Marie Skłodowska-Curie Actions) | Project Research Manager | 2022–2025
Pioneered compact heat transfer and thermal management systems for electric vehicles, aerospace, and renewable energy storage. Coordinated 17+ international partners with a £800,000+ budget.
Impact: delivered IP and proof-of-concept ahead of schedule, with multiple publications in top-tier journals.
Enhancing Thermal Management through Machine Learning Algorithms
PhD Research — University of Hertfordshire | Principal Investigator | 2021–2025
Developed a novel framework combining machine learning, bio-inspired design, and Lean manufacturing for advanced thermal management.
Results: 30–70% heat transfer improvement, 60–70% computational reduction, 43% cost reduction, 29% energy savings, and 19% lower emissions.
Carbon13 Venture Builder (Cambridge, Cohort 9)
Carbon13 | Climate Tech Entrepreneur | 2025
Selected as one of 80 innovators from hundreds of applicants for Cambridge's leading climate tech venture builder, focused on decarbonisation solutions.
Impact: presenting concepts to stakeholders and investors across the climate tech ecosystem, and building partnerships with the University of Cambridge, Barclays, Eagle Labs, ARM, and NatWest.
Carbon-Based Photothermal Membranes
Royal Society | Researcher | 2022–2024
Contributed to next-generation solar energy storage materials using advanced carbon-based photothermal membranes.
AI-driven Turbine Manufacturing Optimisation (Rolls-Royce)
Alan Turing Institute | Researcher | 2022
Devised a database and algorithms supporting root-cause analysis and identification of turbine production failures for Rolls-Royce.
Production Optimisation (Hitachi Astemo)
NCME Bursary | Project Engineer | 2019
Applied Lean Six Sigma and machine learning to optimise production. Reduced reject rates by 3% and improved OEE to 85%.
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View all research projects on the University of Hertfordshire profile