These are the people who represent our Modeling Core. Their expertise spans molecular modeling, genomics, mathematical modeling, population genetics, machine learning and geospatial modeling.
Erich SeamonPostdoctoral Researcher, Geospatial Modeling IMCI
Erich Seamon is a quantitative climatologist and data scientist, who works as a postdoctoral fellow in IMCI’s geospatial modeling core initiative. Erich has a M.S. in geological sciences from Bowling Green State University and a Ph.D. in Natural Resources from the University of Idaho, with a focus on climatological analysis, machine learning, and agricultural processes. His research focuses on statistical modeling techniques to explore natural system spatiotemporal relationships, with a particular focus on climatological impacts and their varying conditional relationships to areas such as agriculture, insurance, human health, and socio-ecological feedback systems.
An additional aspect of Erich’s research focuses on scientific reproducibility and its’ applications to data intensive, collaborative team environments. In that context, he has worked on several multi-year research team collaborations, including: the University of Idaho’s USDA-funded Regional Approaches to Climate Change for Pacific Northwest Agriculture (REACCHPNA – http://www.reacchpna.org), as well as Oregon State University’s Climate Impacts Research Consortium (CIRC), a NOAA-funded pacific northwest Regional Integrated Science Assessment (RISA) team, led by scientists from Oregon State, University of Idaho, and the University of Washington.