Zakaria Louadi joined the group as a Ph.D student and was involved in Sys_CARE project where he developed the tools DIGGER and NEASE which allow studying functional consequences of alternative splicing on the interactome. He received a Bachelor’s degree in Electrical Engineering from Cadi Ayyad University in Marrakesh and a MSc with a focus on AI and deep learning from Jeonbuk National University in South Korea. In his master thesis, he worked on developing Deep Splicing Code a sequence-based tool for the classification of alternative splicing events. Zakaria is now working at Illumina in the UK.