He started applying deep learning techniques to the drug discovery space in 2018 at PhenomicAI where he implemented, with his team, a fully automated pipeline for quantitative and qualitative analysis in the context of High-Content Screening still in use today.
Earlier in his career Etienne worked with social graphs, NLP (text algorithms) and historical “big data” technology stacks. He graduated in 2011 from ISIMA in France (Grande École d’Ingénieur), obtaining a Master of Science degree in Computer Science and Applied Mathematics.
Design: SALIENCE Communication / Publiepress
Scientific animation: Visual Science