Temidayo Popoola is a dedicated meteorologist and geospatial data scientist with over a decade of experience in climate modeling, air quality research, and environmental data analysis. His expertise includes machine learning applications in geospatial analysis, remote sensing, and climate studies. He has contributed to impactful research on dust storm dynamics, land-use changes, and climate risk assessment.

He is currently pursuing a Doctor of Philosophy at Texas Tech University in Lubbock, where he serves as a Research Assistant, leveraging GIS, Python, and cloud-based platforms like Google Earth Engine to drive data-driven environmental insights and decision-making.