Overview
Personal Profile
Dr. Caleb Phillips is a data scientist with the Computational Science Center at NLR. 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 NLR, 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).
Education/Academic Qualification
Associate, Computer Science, Portland Community College
Bachelor, Computer Science, Portland State University
PhD, Computer Science, University of Colorado
Master, Computer Science, University of Colorado
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Collaborations and Top Research Areas From the Past 5 Years
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Loss Factors for Small Distributed Wind Turbines Based on Field Data in the United States: Article No. e260002
Sheridan, L., Sudhakar, S., Barrows, S., Phillips, C., Menear, K., Li, R., Shaik, S., Petros, S., Rai, R., Berg, L. & Flaherty, J., 2026, In: Journal of Sustainability Research. 8, 1, 22 p.Research output: Contribution to journal › Article › peer-review
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A Parcel-Level Evaluation of Distributed Wind Opportunity in the Contiguous United States
Lockshin, J., Perez, P., Podgorny, S., Sizemore, M., Das, P., Laurence-Chasen, J., Crook, P. & Phillips, C., 2025, In: Wind Energy Science. 10, 7, p. 1231-1248 18 p.Research output: Contribution to journal › Article › peer-review
1 Scopus Citations -
Evaluating Opportunity for Distributed Wind Energy in Rural and Agricultural Areas: Article No. 114055
Crook, P., Perez, P., Laurence-Chasen, J. D., Podgorny, S., Lockshin, J. & Phillips, C., 2025, In: Environmental Research Letters. 20, 11, 14 p.Research output: Contribution to journal › Article › peer-review
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Evaluating the Potential of Short-Term Instrument Deployment to Improve Distributed Wind Resource Assessment
Sheridan, L., Duplyakin, D., Phillips, C., Tinnesand, H., Rai, R., Flaherty, J. & Berg, L., 2025, In: Wind Energy Science. 10, 7, p. 1451-1470 20 p.Research output: Contribution to journal › Article
1 Scopus Citations -
Performance of Wind Assessment Datasets in United States Coastal Areas
Sheridan, L., Wang, J., Draxl, C., Bodini, N., Phillips, C., Duplyakin, D., Tinnesand, H., Rai, R., Flaherty, J., Berg, L., Young, E. & Kotamarthi, R., 2025, In: Wind Energy Science. 10, 8, p. 1551-1574 24 p.Research output: Contribution to journal › Article › peer-review
1 Scopus Citations