Celia Rosecrans is a hydrologist with the USGS in Sacramento, CA. Her scientific interest focuses on statistical prediction of water quality constituents in groundwater using random forest regression and boosted regression trees machine learning methods. Her recent work includes three-dimensional continuous probability models for aspects of redox conditions and pH in the groundwater system of the Central Valley California.