Jonathan manages a wide variety of projects requiring statistical theory and its applications to the statistical data analysis of environmental, epidemiological, and other data related to land, air, water quality, energy usage, emissions, biomonitoring, exposure, and health risk. He uses a range of statistics and data analysis tools—such as regression analysis, general linear models, and dose-response modeling, among others—to conduct these projects.

Jonathan has managed the America’s Children and the Environment project at the Environmental Protection Agency (EPA) Office of Children’s Health Protection and the Office of Policy for over 15 years. During this time, he updated several indicators of children’s environmental health using data analyses of various large, national databases, including exposure to environmental contaminants, body burdens (chemical concentrations in blood and urine), and childhood illness rates. Jonathan has reviewed experimental protocols and analyzed data on human exposures and doses of various pesticides for the EPA Office of Pesticide Programs for over 10 years.

Jonathan has also supported other federal clients, including the U.S. Postal Service, Federal Highway Administration, Department of Energy, National Aeronautics and Space Administration, and Fannie Mae. State-level clients include the California Energy Commission, the New York Department of Health, the California Department of Transportation, and the California Department of State Parks. International clients include Environment Canada, the United Kingdom Department of the Environment Food and Rural Affairs, and the United Kingdom Department of Transport.

Jonathan is an adjunct instructor of mathematics at Santa Rosa Junior College. Previously, he was an assistant professor of statistics for nearly 10 years at the universities of Minnesota and Kentucky.