Li Ang Zhang

Photo of Li Ang Zhang
Associate 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 associate 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

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

Honors & Awards

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

Publications