Giovanni Malloy is a researcher at RAND with expertise in data science, artificial intelligence, decision analysis, mathematical modeling, and simulation. At RAND, his work focuses on machine learning, advanced data analytics, AI technology evaluation, forecasting, modeling, and simulation for the defense and homeland security. Applicaitons include military health and personnel, military logistics, and technology evaluation. He also has extensive background in health policy focused on developing computational models and improving analytical methods for guiding decision making. Applications of his work include COVID-19 mitigation in jails and prisons, structural sensitivity analyses, cost-effectiveness analyses, and developing analytical and metamodel alternatives to traditional model archetypes. He holds a Ph.D. in Management Science & Engineering from Stanford University and a BS in Industrial Engineering from Purdue University.
Ph.D. in management science and engineering, Stanford University; B.S. in industrial engineering, Purdue University
