Scientist at the International Center for Tropical Agriculture (CIAT) and Data-Driven Agronomy Community of Practice Coordinator, CGIAR Platform for Big Data in Agriculture
Daniel Jiménez is a pioneer of using artificial intelligence techniques for agricultural research in developing countries. He is an award-winning scientist with more than 10 years of experience in research for development, project management, fundraising, ensuring science impact, strategic positioning, and establishing international scientific collaborations. He holds a PhD in Applied Agriculture from Ghent University.