Contact me
Email: hueholt.earth+web (at) gmail.com
Github: github.com/dmhuehol
Link to CV (last updated June 2026)
Contact me
Email: hueholt.earth+web (at) gmail.com
Github: github.com/dmhuehol
Link to CV (last updated June 2026)
Bio
Daniel Hueholt is a climate scientist who studies human and ecosystem risk across climate futures. His research philosophy emphasizes progress through continuous improvement (“iterative refinement”), and carefully matching methods to a given question (“adequacy for purpose”). He is an Assistant Professor of Environmental Science in the Environmental Studies and Science Program at Colorado College.
Professor Hueholt’s research employs analysis of Earth system model large ensembles, impacts models such as ecological niche models, data-driven methods including machine learning, and historical observations. A key element of his research is the interdisciplinary study of potential climate intervention methods to intervene in the Earth system to counteract impacts of climate change. Examples of projects on this topic range from using climate models to characterize global ecological risk under climate intervention scenarios to art-science work (see videos here). Professor Hueholt received his Ph.D. and M.S. degrees in Atmospheric Science from Colorado State University, and holds B.S. Meteorology and B.S. Mathematics degrees with a minor in Music from North Carolina State University. At NC State, he worked in the Environment Analytics research group from 2017-2020.
At Colorado College, Professor Hueholt teaches courses in environmental science, including Introduction to Global Climate Change, Analysis of Environmental Data, and Climate Intervention: Science and Society. He emphasizes applying methods validated by geoscience education research, including active learning, retrieval practice, and accessible design. Undergraduate research was critical in Professor Hueholt's career, and he actively supports undergraduate research opportunities at Colorado College. Student projects in spring 2026 involved studying the use of 5-minute increment weather data for insights into visibility conditions for aviation safety and climate trends in frozen-unfrozen precipitation ratios.