About
Nicoleta Cristea is a research hydrologist in the University of Washington Department of Civil and Environmental Engineering and a Data Science Fellow at the University of Washington eScience Institute, Seattle. She is interested in many aspects of water resources research with a focus on snowmelt, snow modeling and remote sensing of snow.
Past research also included studying groundwater modeling, snow and evapotranspiration processes as well as stream heating processes. Nicoleta's research focuses on understanding large and fine scale hydrologic phenomena in a changing climate through combining field and remotely sensed observations with modeling and data driven discovery. Current projects include mapping detailed snow covered areas from Cubesat imagery using machine learning techniques, snowpack modeling across complex terrain and building GeoSMART, an educational program for machine learning adoption in the Geosciences with a focus on applications in hydrology, cryosphere and seismology. She holds a PhD degree from the University of Washington.
Past research also included studying groundwater modeling, snow and evapotranspiration processes as well as stream heating processes. Nicoleta's research focuses on understanding large and fine scale hydrologic phenomena in a changing climate through combining field and remotely sensed observations with modeling and data driven discovery. Current projects include mapping detailed snow covered areas from Cubesat imagery using machine learning techniques, snowpack modeling across complex terrain and building GeoSMART, an educational program for machine learning adoption in the Geosciences with a focus on applications in hydrology, cryosphere and seismology. She holds a PhD degree from the University of Washington.