Da-Cheng has worked on large-scale, semi-supervised learning with Expander, as well as personalized recommendation for computational advertising. Prior to joining Google, Da-Cheng received his Ph.D. from Carnegie Mellon University in 2014. His research interests include machine learning, convex optimization, and data mining.