Waren is working at source{d} as a research software engineer in the Machine Learning team. After graduating from Paris in Optimization theory, he joined the Department of Mathematics at UCLA designing optimal networks to minimize the cost of traffic congestion. Today, Waren is applying NLP techniques to model source code and predict program properties. More recently he’s been developing ML-based solutions to gain engineering visibility into a codebase and its processes.