About me
Di Zhang is the Associate Director of RWE Statistics and Data Science at Teva Pharmaceuticals. Her research interests include causal inference, RWE study designs and methods, the utilization of machine learning in clinical trials and real-world applications and leveraging real-world data in clinical trials. She is devoted to the application of advanced statistical methodologies in the design and analysis of real-world data. Prior to joining Teva, Di was a statistical reviewer at the FDA, specializing in post-market drug safety. Di serves as an Associate Editor for the ASA Biopharmaceutical Report and is a member of the ASA ML/AI scientific working group. She holds a PhD in Biostatistics from the University of Pittsburgh.
