While at AIMS, Raïssa Edwige masters essay was entitled “Use Deep Learning for an Efficient Channel Assignment in Wireless Networks” and her goal was to try to optimize the use of resources in order to reduce the blocking rate by maximizing the possibility to redirect calls arriving at anytime from anywhere in the world.

After AIMS, Raïssa Edwige completed the AIMS machine learning program at AMMI – Senegal. She is currently working at Great Innovations Technologies and she received a Mathematical Sciences for Climate Resilience Internship Program (MS4CR – IP) scholarship at ICRISAT (Cluster-based graph analysis in smallholder farm).