Kayode Adeniyi is an AI Research Engineer and PhD Researcher at Imperial College London, where he develops machine learning methods for hardware sensor design and uncertainty quantification applied to global water risk. He is also Head of Research and Innovation at the GeoHazards Risk Mapping Initiative, where he has delivered flood risk mapping across communities in West Africa, and now leads work on low cost sensor networks that run inference on-device where satellite revisit rates and cloud cover make orbital observation unreliable.
Previously, Kayode built satellite based flood models on Sentinel, Landsat and MODIS data, led the GIS services & Engineering teams, delivered payments infrastructure at Flutterwave. He has produced country level AI readiness and digital public infrastructure assessments for the United Nations Development Programme across Africa and Latin America. He has presented to the British-American Parliamentary Group at the Palace of Westminster on auditable AI in public services, and won the Luminance Legal-Grade AI Challenge at Cambridge Judge Business School in 2025. He holds an MSc in Digital Innovation from the London School of Economics and Political Science.