Li Ang Zhang

Photo of Li Ang Zhang
Information Scientist; Professor, Pardee RAND Graduate School
Santa Monica Office

Education

Ph.D. in chemical engineering, University of Pittsburgh; B.S. in chemical engineering, Carnegie Mellon University

Overview

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.

Selected Publications

Li Ang Zhang, Jia Xu, Dara Gold, Jeff Hagen, Ajay K. Kochhar, Andrew J. Lohn, Osonde A. Osoba, Air Dominance Through Machine Learning, RAND Corporation (RR-4311), 2020

Gavin S. Hartnett, Lance Menthe, Jasmin Leveille, Damien Baveye, Li Ang Zhang, Dara Gold, Jeff Hagen, Jia Xu, Operationally relevant artificial training for machine learning: improving the performance of automated target recognition systems, RAND Corporation (RR-A683-1), 2020

Sherrill Lingel, Jeff Hagen, Eric Hastings, Mary Lee, Matthew Sargent, Matthew Walsh, Li Ang Zhang, David Blancett, Evaluation of repeated quick sepsis-related organ failure assessment measurements among patients with suspected infection, RAND Corporation (-4408z1), 2020

Honors & Awards

  • 2020 RAND Bronze Medal Award
  • 2020 RAND PAF Team Innovation Award
  • 2018 RAND Spotlight Award

Publications