Michelle joined Elsevier in 2014 and is the SVP of Data Science. The Data Science team is focused on the content production pipelines that enable Elsevier to turn content into answers. Specifically, they combine natural language processing (NLP) and machine learning (ML) methods with domain expertise in order to enrich content into data structures, that drive the analytics that Elsevier’s products require with the quality that Elsevier’s customers expect. Michelle’s career as a computational linguist has focused on the implementation of NLP and ML methods to improve computational analysis and understanding of large amounts of data. As a research and industry leader, she focuses on defining big data solutions for language processing applicable and scalable for real world applications.