Ryan joined the WAVES Lab in Fall 2017. Prior to UCSB, Ryan graduated from UC Berkeley in 2016 and then served as a Geoinformatics Fellow with the NASA DEVELOP program. He advised applied remote sensing projects and helped develop a time series of forest disturbance maps for Glacier National Park and a python program to model regional light pollution for the Natural Sounds and Night Skies division of the National Park Service.

His research interests include modeling of hydrologic processes, remote sensing of land cover/land use change, and the applications of machine learning in the geographic sciences. Ryan is currently applying these methodologies to model plant water-use using stable isotopes and micromet data, and to detect and classify smallholder agriculture in Ghana. When not researching, you can find him rock climbing, biking, trail running, or getting a sunburn.

He also serves as an instructor for Software Carpentry.