Armeen graduated from Caltech with a PhD in electrical engineering. He received his BS in applied mathematics and electrical engineering from the University of Colorado at Boulder. His PhD research focused on developing statistical models that account for the presence and effect of latent variables (unobserved phenomena) in observational data. A major focus of his work was to use these modeling frameworks to obtain a better understanding of variables influencing California water storage levels and characterize the behavior of water storage levels under changes to these variables. He hopes his work serves as a useful tool toward making informative water sustainability policies.
RSI Research: Building Richer Water Resource Models by Characterizing Unmodeled Phenomena