specializes in tropical and satellite meteorology specifically tropical cyclone dynamics,
applications from geostationary platforms, and machine learning. His current research
emphasis includes exploring machine learning applications to improve short-term forecasts
and blend data from geostationary and polar-orbiting satellites. He has published many
scientific journal publications, technical reports, and has made presentations at numerous
Dr. Slocum earned a B.S. in Meteorology (2011) from The Pennsylvania State University,
and a Masters (2013) and Ph.D. (2018) in Atmospheric Science from Colorado State University.
He continued as a Postdoctoral Fellow and later as a Research Scientist at the
Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University
before joining the Regional and Mesoscale Meteorology (RAMM) Branch of NOAA/NESDIS/STAR
as a Physical Scientist in 2019.