I study climate science and the cryosphere. Most of my work deals with nonstationarity in snow and water systems – both the problems this causes and the potential solutions. Specific topics include the atmospheric drivers of snow dro†ughts, post-fire hydrology, and machine learning applications in snow pattern repeatability shift. I am generally interested in how nonstationarity impacts environmental observations and in particular our ability to understand change. I grew up in Ann Arbor, Michigan. I earned undergraduate and masters degrees at Stanford University as part of the Bob & Norma Street Environmental Fluid Mechanics Laboratory, where I worked on oscillatory wave-current boundary layers. I earned my PhD from the UC Berkeley Department of Environmental Science, Policy, and Management, where I was a DOE Computational Sciences Graduate Fellow. I am an affiliate at the Central Sierra Snow Laboratory. I enjoy running, soccer, the outdoors, and word games. I previously worked in miRNA alignment research and public genetics education with miRcore.