Chris Coxen is a data scientist at RTI whose expertise is in working with diverse teams to apply machine learning, text analytics, predictive modeling, and data visualization techniques to solve problems in the environmental, social, and public health sectors. Recent projects include modeling fish community responses to altered water flow conditions to assist conservation planning for the Louisiana Water Initiative and analyzing Long COVID symptom patterns using patient survey data as part of the National Institutes of Health RECOVER Initiative.
Before joining RTI, Mr. Coxen worked as a wildlife biologist for nonprofit conservation groups and as a graduate researcher within the Cooperative Fish and Wildlife Research Units Program in New Mexico. His research experience includes incorporating geospatial data and machine learning techniques to model habitat suitability for an avian species of conservation concern across various climate change scenarios in the Southwest.
