David McCoy is a Ph.D. student in the Environmental Health Sciences (EHS) Department working with Professors Alan Hubbard and Martyn Smith. He received his Master of Science in Epidemiology from the London School of Hygiene and Tropical Medicine in 2017 and has been working with the University of California, San Francisco (UCSF) as a Data Scientist. He is interested in understanding how exposure to pollution, such as persistent organic pollutants, heavy metals, and air pollution leads to compounding oxidative stress on an organism and subsequent disease. Because of the complex causal networks in such data, he is interested in exploring new statistical methods to derive causal inference from machine learning approaches and applying semiparametric modeling to toxicology data. Broadly, he investigates the statistical methods needed to operationalize the theories of Exposomics. In doing so, he works closely with the UC Berkeley Superfund Research Program, the National Cancer Institute Division of Cancer Epidemiology and Genetics, and the United Kingdom Biobank.