Dr. Caleb Phillips is a data scientist with the Computational Science Center at NREL. Dr. Phillips comes from a background in computer science systems, applied statistics, predictive modeling, machine learning, and optimization. His work supports projects across disciplines at NREL, including advanced and alternative-fuel vehicle technologies, transportation systems, materials science, photovoltaics, strategic energy analysis, wind power, and energy efficient high-performance computing. Dr. Phillips maintains an adjunct appointment at the University of Colorado, Boulder where he has also done work in sustainability science (food systems), medical research (orthopedics and wilderness medicine), human computer interaction (power control), and artificial intelligence (assistance systems).


Ph.D., Computer Science, University of Colorado

M.S., Computer Science, University of Colorado

B.S., Computer Science, Portland State University

A.S., Computer Science, Portland Community College

Featured Work

Prediction and Characterization of Application Power Use in a High-Performance Computing Environment, Statistical Analysis and Data Mining: The ASA Data Science Journal (2017) 

Using GIS-Based Methods and Lidar Data to Estimate Rooftop Solar Technical Potential in U.S. Cities, Environmental Research Letters (2017) 

Guided Search for Organic Photovoltaic Materials Using Predictive Data Modeling, Conference on Data Analysis (2016) 

The Development of Vocational Vehicle Drive Cycles and Segmentation, NREL Technical Report (2016) 

On the Use of Coupled Wind, Wave, and Current Fields in the Simulation of Loads on Bottom-Supported Offshore Wind Turbines during Hurricanes, NREL Technical Report (2016) 

View all NREL publications for Caleb Phillips.