Greg is a data scientist working on outcome measurement methodology at VideoAmp. His primary focus is measuring lift using techniques from machine learning and causal inference. Previously Greg developed methodologies for A/B testing at Google, worked on machine learning at ZipRecruiter and Live Nation, and taught "Data Analysis for Decision Making" at the University of Southern California Marshall School of Business. Greg completed his Ph.D. in Statistics at the University of Southern California, where he wrote his dissertation on machine learning and causal inference and developed open-source software. His research has been published in the International Conference on Machine Learning and the Proceedings of the National Academy of Sciences.