Prior to joining the University of Arizona, Dr. Canales was a researcher at Stanford University - focusing on computational exposure simulation - and an instructor at the New School - working with faculty and students across Parsons School of Design and Eugene Lang College. Currently at the University of Arizona, he collaborates with investigators and teams of researchers interested in machine learning, data science, and the development of mechanistic models of health, risk, and environmental systems. Robert mentors students from diverse backgrounds that are motivated to learn about interdisciplinary science, applied statistics, and computational methods in environmental science and health.
MS, Civil Engineering, Stanford University
MS, Statistics, Stanford University
PhD, Environmental Engineering, Stanford University
- Machine Learning
- Image Analysis
- Data Science Literacy