Stephen Fick joined SEI in May 2016. At SEI he was involved with the technical development of the Trase platform for supply chain transparency.
His research focuses on the ways that emerging analytical methodologies (e.g. data-mining, machine learning, dynamic visualizations) and sources of data can be used to address social and ecological problems, with particular interest in spatial data, networks, and ecological restoration/reconciliation.
His previous work has included field-based restoration trials with the U.S. National Park Service, regional-scale species distribution modeling for restoration planning in California, and development of an updated version of WorldClim, a gridded climatology dataset widely used within the environmental sciences.
He holds a Ph.D. in ecology from the University of California, Davis as well as B.Sc.’s in biology and archaeology from Wheaton College (IL).