Li Ang Zhang

Li Ang Zhang is an information scientist at the RAND Corporation and a professor at Pardee RAND Graduate School. His research interests include applying machine learning (ML), optimization, and mathematical modeling towards defense and technology policy challenges. Recently, he has been focused on ML implementation challenges, including assessing edge ML devices and identifying the implications of adversarial examples.

Prior to joining RAND, he focused on creating model-based decision support systems to tackle clinical problems in sepsis, a severe inflammatory syndrome. He made contributions towards sepsis evaluation and developing optimization tools. He received his Ph.D. in chemical engineering from the University of Pittsburgh.