Prior to joining George Washington University, Dr. Canales was a team scientist at the University of Arizona working across programs in environmental health, one health, applied mathematics, and statistics. He was also an Assistant Professor of Statistics at the New School, jointly with the Parsons School of Design and Eugene Lang College.
Currently he aims to collaborate with investigators and students interested in data science, simulation, and the development of mechanistic models of health, risk, and environmental systems. His multidisciplinary work takes many forms but primarily focuses on personal and residential multimedia exposures, contaminant transport, indoor air quality, infectious disease transmission, and risk analysis. Methods include machine learning, probabilistic simulation, agent-based modeling, dynamic compartmental modeling, Monte Carlo simulation, and nonparametric techniques.
Robert also enjoys instructing students across various programs in public health and mentoring students from diverse backgrounds that are motivated to learn about interdisciplinary science, applied statistics, and computational methods in environmental science and health.
