Robert A. Canales
Robert A. Canales
Ph.D.
Associate Professor
Full-time Faculty
School: Milken Institute School of Public Health
Department: Environmental and Occupational Health
Contact:
Email:
Robert A. Canales
Office Phone:
(202) 994-1734
950 New Hampshire Ave. NW, Office 415
Washington DC 20052
Trained as an environmental engineer and applied statistician, Dr. Canales works in the area of exposure science - characterizing and predicting the intensity and duration of human contact with chemical, biological, and physical hazards. He primarily uses computational tools including machine learning, artificial intelligence, system dynamics, and probabilistic modeling. These interests and methods are integrated into his teaching of environmental health and quantitative methods.
He has worked collaboratively on projects and publications in the areas of quantitative microbial risk assessment, community-based multimedia exposure and risk analysis, the collection and evaluation of exposure-related behaviors, and the evaluation and development of new quantitative methods.
Robert also enjoys mentoring students from diverse backgrounds that are motivated to learn about interdisciplinary science, applied statistics, and computational methods in environmental health.
More from Robert Canales
Post Doctoral Fellow, Exposure, Epidemiology & Risk, Harvard School of Public Health
PhD, Environmental Engineering & Science, Stanford University
MS, Statistics, Stanford University
MS, Environmental Engineering & Science, Stanford University
BS, Civil Engineering, The University of Texas at Austin
Environmental and Occupational Health
Risk Assessment, Management and Communication
Occupational Health
Infectious Disease
Children's Health
Underserved Populations
PUBH 3132: Health and Environment
PUBH 6126: Assessment and Control of Environmental and Occupational Hazards
PUBH 6131: Quantitative Methods in Environmental and Occupational Health
PUBH 6144: Environmental Health Data Development and Modeling
PUBH 8144: Advanced Environmental Health Data Development and Modeling
- Multimedia, multipathway exposures in vulnerable populations
- Air quality and chemical fate/transport in indoor environments
- Quantitative microbial risk assessment and infectious disease dynamics
- Collection of exposure factors and human behavior relevant for environmental exposure models
- Development of computational methods, simulation models, and statistical techniques
- Application of statistics, machine learning, and mathematics to issues in environmental health