Gideon Mann is the head of Data Science at Bloomberg, guiding the strategic direction for machine learning, natural language processing, and search on the core terminal. At Bloomberg, his team has worked on the company-wide data science platform, natural language question answering, and deep learning text processing, among other products. He also founded and leads the Data for Good Exchange (bloomberg.com/d4gx), an annual conference on data science applications for social good and is a core member of the Shift Commission on Work, Workers and Technology (shiftcommission.work). Mann graduated Brown University in 1999 and subsequently received a Ph.D. from The Johns Hopkins University in 2006. His focus at Hopkins was natural language processing with a dissertation on multi-document fact extraction and fusion. After a short post-doc at UMass-Amherst working on problems in weakly supervised machine learning, he moved to Google Research in NYC in 2007. In addition to academic research, his team at Google built core internal machine learning libraries, and publicly released the Google Prediction API and coLaboratory, a collaborative iPython application. He joined Bloomberg's leadership team in the CTO department in 2014.