Xiaotong Lu

Xiaotong (Maggie) Lu is a Senior Applied Scientist at Uber since May 2022, focusing on paid marketing measurement, incrementality experiments, A/B testing, causal inference, and machine learning models for ad attribution and Return on Ads Spend (ROAS) measurement. Prior to this, Xiaotong served as an Applied Scientist II at McKinsey & Company, where responsibilities included pricing contract optimization, machine failure prediction, customer journey analytics, and segmentation. Experience also includes a role as a Research Assistant at Carnegie Mellon University and internships at Capital One, Weibo Corporation, and Amazon. Xiaotong holds a Master's degree in Information Systems Management with a focus on Business Intelligence and Data Analytics from Carnegie Mellon University, and a Bachelor's degree in Information Resources Management from Nankai University.