Dylan Harrison-Atlas is a member of the Geospatial Data Science Group in the Strategic Energy Analysis Center.
Areas of Expertise
Machine learning for inference and prediction
Analysis of spatiotemporal “Big Data”
Freshwater systems under global change
Modeling of energy systems and infrastructure via application of machine learning
methods to remotely-sensed imagery
Visualization for collaborative decision making
Wind and solar resource assessment
Deep Learning Specialization, Coursera, 2018
Ph.D. in Ecology, Colorado State University, Fort Collins, CO, 2016
B.A. in Environmental Science, Colby College, Waterville, Maine, 2007
Prior Work Experience
Senior Research Specialist, Conservation Science Partners, Fort Collins, CO
Geospatial Consultant, Atlas Mapped, Fort Collins, CO
National Science Foundation IGERT Fellow, Colorado State University, Fort Collins, CO
Teaching Assistant, Colorado State University, Fort Collins, CO
GIS Specialist, Eolian Renewable Energy, LLC, Portsmouth, NH
Research Associate, ICF International, Washington, DC
Harrison-Atlas, D., D.M. Theobald, & Goldstein, J.H. (2016). A Systematic Review of Approaches to Quantify Hydrologic Ecosystem Services to Inform Decision-Making, International Journal of Biodiversity Science, Ecosystem Services & Management, 3, 160-171.
Theobald, D.M., Monahan, W.B., Harrison-Atlas, D., Hansen, A.J., Jantz, P., Gross, J.E., & Olliff, S.T. (2016). Assessing Vulnerability to Land Use and Climate Change at Landscape Scales Using Landforms and Physiographic Diversity as Coarse-Filter Targets. In: Hansen, A.J., Monahan, W.B., Olliff, S.T., & Theobald D.M. (eds). Climate Change in Wildlands. Island Press, Washington, DC.
Theobald, D.M., Harrison-Atlas, D., Monahan, W.B., & Albano, C.M. (2015). Ecologically-relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning, PLOS ONE, 10(12): e0143619.
D.M. Martin, Harrison-Atlas, D., Sutfin, N.A., & N.L. Poff. (2014). A Social-Ecological Framework to Integrate Multiple Objectives for Environmental Flows Management, Journal of Contemporary Water Research & Education, 153, 49-58.