Summary
Caleb Phillips is an applied statistician and data science researcher with 14 years of experience translating statistical modeling, experimental design, and optimization into impact across energy, medical, and food systems. He combines academic rigor as an adjunct professor at University of Colorado Boulder with hands-on applied research at NREL and collaborations at Stanford and CU Anschutz, tackling problems from photovoltaics and wind energy to acute mountain sickness. Caleb has led large interdisciplinary teams, run an Analysis & Visualization group, and spun practical solutions as CTO and founder of nonprofit food-rescue initiatives, demonstrating fluency in both research leadership and operational implementation. He is comfortable with large-scale simulation, geospatial analytics, and high-throughput computational workflows—skills he has applied to GPU-accelerated spatial methods and scalable geostatistics. Notably, his career blends deep technical expertise with sustained community engagement in education and nonprofit founding, reflecting a persistent focus on translating data science into social and environmental value.
13 years of coding experience
20 years of employment as a software developer
BS Computer Science, BS Computer Science at Portland State University
MS Computer Science, MS Computer Science at University of Colorado Boulder
English