Li Ang Zhang

Photo of Li Ang Zhang
Associate Information Scientist
Santa Monica Office


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


Li Ang Zhang is an associate information scientist at the RAND Corporation and a professor at Pardee RAND Graduate School. His research interests include applying machine learning, optimization, and mathematical modeling towards the policy areas of defense and technology. He is particularly interested in adversarial artificial intelligence and how it will affect the pathway towards an AI-enabled society. Recently, he has been developing machine learning applications for satellite imagery and mission planning.

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

DR Kievlan, LA Zhang, CCH Chang, DC Angus, and CW Seymour, "Evaluation of repeated quick sepsis-related organ failure assessment measurements among patients with suspected infection," Critical Care Medicine, 46(12), 2018

LA Zhang, A Urbano, G Clermont, D Swigon, I Banerjee, RS Parker, "APT-MCMC, a C++/Python Implementation of Markov Chain Monte Carlo for Parameter Identification," Computers & Chemical Engineering, 110, 2017

LA Zhang, RS Parker, D Swigon, I Banerjee, S Bahrami, H Redl, G Clermont, "A One-Nearest-Neighbor Approach to Identify the Original Time of Infection using Censored Baboon Sepsis Data," Critical Care Medicine, 44(6), 2016

Honors & Awards

  • 2020 RAND PAF Team Innovation Award
  • 2018 RAND Spotlight Award
  • 2013 Graduate Assistance in Areas of National Need Fellowship