Louis Reymondin is an expert in developing solutions that harness the power of Machine Learning to make sense of Big Earth Data. He did his undergraduate in software development at University of Applied Sciences Western Switzerland and followed a PhD program in Geography at King’s College London. He has now more than 10 years of experience working for the International Center for Tropical Agriculture (CIAT). Louis’ research focuses on the development and implementation of large scale monitoring systems for human impact assessment, such as Terra-i: an early warning system to monitor changes in habitat throughout the tropic.

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