Yang Xu

Yang (Alina) Xu is an Applied Scientist at Amazon, where they have focused on constructing evaluation frameworks for heterogeneous treatment effects and developing localized approaches for estimation under massive datasets. Previously, Yang served as a Research Assistant at North Carolina State University and worked as a Data Scientist at Microsoft, proposing a reinforcement learning framework for notification recommendations. Yang's research interests include causal inference and reinforcement learning, with notable contributions such as a paper that received the 2023 ASA best student paper award and another published at ICML 2023. They are also actively involved in ongoing projects related to causality and bandits, with plans to explore several emerging topics in the field.