About
Dr Shey is an Agricultural Bioscientist with interdisciplinary expertise in agrifood systems, food/plant analytical biochemistry, food safety and nutrition, quantitative and molecular genetics, production systems, climate adaptation, bioinformatics and statistical data analysis. His work integrates field-based, experimental, and laboratory evidence coupled with quantitative modelling to generate data-driven insights that support resilient food systems, inform nutrition/public health policy, and enable the sustainable improvement of crop and livestock systems.
(1) In crop and food systems: (i) he combines field surveys and climate data to characterise farming systems, understand farmers’ responses to climate change and identify the agroecological drivers of productivity, and (ii) integrates high-throughput analytical techniques (HPLC, LC-MS/MS, ICP) and risk-benefit assessment (RBA) to quantify how climate variability alters the biochemical, nutritional and safety profiles of staple crops and the implications for dietary adequacy and nutritional/health outcomes.
(2) In livestock systems, he conducts (i) population‑level and on‑station phenotypic diversity evaluations to identify major genes influencing growth, feed efficiency and heat‑stress tolerance, and (ii) comparative molecular analyses of the genetic variation underlying productivity and resilience traits in poultry, to identify functional and performance‑related markers that support selective breeding, genetic improvement, and the sustainable utilisation and conservation of indigenous ecotypes.
Beyond research, he is an Associate Fellow of Advance HE, bringing over seven years of university teaching experience in Cameroon and the United Kingdom, where he has delivered and facilitated courses in animal breeding, genetics, plant biology, agrostology, forage and range management, food chemistry and global food security. He also provides technical advisory support to agripreneurs and agricultural industries in Cameroon on best farm‑management practices for sustainable yield optimisation.
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