Expertise

My research develops sustainable solutions for crop protection by integrating chemical ecology, data science, and biological control. I investigate how agricultural pests and their natural enemies perceive and respond to chemical signals, translating these insights into practical monitoring technologies and environmentally responsible management strategies. This work directly supports global food security while reducing agriculture's environmental footprint. By developing alternatives to synthetic pesticides through biopesticide innovation and precision monitoring tools, I seek to contribute to more resilient and sustainable farming systems.

Since 2020, I have secured £2.5 million in competitive research funding across 15 successful grants, with £670k direct value to Harper Adams University. My research involves collaborations with leading institutions including Aston University, Teagasc Ireland, University of Zambia, Imperial College London and industry partners developing next-generation pest management technologies.

Current Projects

YearsProjectDescription
2024–2026SoilScope – Machine Learning-Enabled Acoustic MonitoringInnovate UK-funded project (£364k) developing acoustic-based pest detection systems with Biofonic and SRUC for sustainable crop protection.
2024–2026Development of Safe RNA-Based BiopesticideInnovate UK-funded collaboration (£210k) with University of Plymouth and RNA Agribio Ltd. to develop next-generation biological pest control solutions.
2022–2026Aphid Monitoring as a Decision Support ToolTeagasc Walsh Scholarship (£122k) developing data-driven approaches for aphid management in Irish cereal crops with international collaboration.
2025–2027Cabbage Stem Flea Beetle Management ProgrammeAHDB-funded project (£81k) with ADAS, Rothamsted, and NIAB developing integrated management strategies for this challenging oilseed rape pest.
2022–2023Photonic Noses for Pest MonitoringBBSRC-funded feasibility study (£148k) with Aston University developing novel sensor technology for in-field pest detection using photonics.