Cory Martin, Ph.D.
Cory earned his PhD in atmospheric and oceanic science from the University of Maryland where he worked on computational techniques to use observations to estimate the amount of greenhouse gases (which contribute to climate change) produced by an individual city.
He joined RedLine in 2018, to support numerical weather prediction model development for NOAA’s National Weather Service. In addition to serving as a subject matter expert and developer for atmospheric chemistry modeling and data assimilation, he has worked on software optimization for version 16 of the Global Forecast System (GFS), including adding netCDF file format support with MPI parallelized read and write. Cory also works closely with other computational scientists on the Joint Effort for Data assimilation (JEDI) project, a next generation weather and climate modeling initialization system to be used by NOAA, NASA, the US Navy, the US Air Force, and the UK MetOffice.
When not working, he enjoys hiking/jogging, the occasional glass of bourbon, and cheering on the Ohio State Buckeyes.