Dan Lee

Dan is an engineer at Paradigm. He has experience in a mixture of software engineering and data science roles focusing on ETL, analytics, and classification models. He dropped out of an Econometrics Ph.D program in 2014 and worked at several startups prior to joining Paradigm. Most recently he was the technical lead for content safety signals at Pinterest, leading development and deployment of models to identify policy violating content. Dan holds a B.S. from Columbia University and an M.A. from Duke University.