Boyu Fan is a Data Scientist at Conde Nast currently developing and deploying models for targeted advertising across the wide range of Conde Nast brands. He is interested in a range of problems related to machine learning, natural language processing, and deep learning, especially at scale.

Boyu has a background in applied mathematics and engineering with a PhD from MIT. His research experience includes theoretical and computational work in nonlinear dynamics, partial differential equations, and fluid mechanics. Prior to Conde Nast, Boyu also worked as a management consultant focused on advanced analytics, digital transformation, and strategy.