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Education

  • PhD Michigan State University
  • Master’s degree, Michigan State University
  • Bachelor’s degree, University of Rhode Island

Experience

Dan is currently a statistician, primarily working with fisheries data, for the National Oceanic and Atmospheric Administration. Before this position, which he began in 2017, Dan was a postdoctoral researcher in the New York Cooperative Fish and Wildlife Research Unit at Cornell University. His work involves statistical modeling of wildlife populations for the purposes of conservation and management, with a particular emphasis on hierarchical models. Before Cornell, he worked as a postdoc in the Maine Cooperative Fish and Wildlife Research Unit at the University of Maine. He, along with Andy Royle and Chris Sutherland, has been closely involved in the development of various modules of the oSCR R package.