Just prior to joining the University of Arizona, Dr. Canales was an Assistant Professor of Statistics at the New School, working with faculty and students across Parsons School of Design and Eugene Lang College. Currently he collaborates with teams of researchers interested in quantitative applications in environmental health. Dr. Canales' research interests span the fields of engineering, public health, statistics, and mathematics. This multidisciplinary work takes many forms but primarily focuses on environmental and environmental health topics while using methodologies based in applied mathematics and systems science. Primary themes include personal and residential multimedia exposures (including exposures to consumer products and microbial agents) and interventions, green/smart buildings and the built environment, contaminant transport, indoor air quality, infectious disease transmission, and risk analysis. Methods include data mining/learning, analytics, agent-based modeling, dynamic compartmental modeling, Monte Carlo simulation, parameter estimation, uncertainty quantification, and nonparametric techniques.
PhD, Environmental Engineering, Stanford University
Informatics, Modeling, and Remote Sensing
Dynamical systems theory
Mathematical and system dynamics modeling
Modeling and simulation
Connecting science and decision making