Using machine learning to model fallout plumes from CBRN incidents: A conversation with Nathan Boyle

Nathan Boyle, a former postdoctoral fellow in the Intelligence Community Postdoctoral Research Fellowship Program, has studied machine learning for predicting fallout from chemical biological radiological and nuclear weapons. In this episode of the ORISE Featurecast, Boyle discusses his research emphasis during his fellowship, where he is now, the value of mentorship and collaboration in the research process and so much more. To learn more about Boyle and the IC Postdoctoral Research Fellowship Program, visit https://orise.orau.gov/icpostdoc/profiles/2021/nathan-boyle.html