Sustainability Leadership Fellow Cohort: 2018-2019

Ph.D. Candidate, Department of Statistics, Colorado State University

Research Summary: As communities prepare to face changing climates, they must anticipate long-term, local impacts. For example, how might regional precipitation change? City planners want to know how high they should build the next bridge. My research helps address this issue. Climate models can predict changing temperatures at broad scales, but struggle to predict complicated regional characteristics, like December 2020 precipitation for the city of Fort Collins. I develop statistical models to identify complex relationships in data to help scientists predict changing precipitation with climate models. These models require careful integration of interdisciplinary ideas to simultaneously account for global and local relationships.