Connor Jackson is a PhD candidate in Agricultural and Resource Economics at UC Berkeley who applies computational tools and novel datasets to study environmental and public economics. With nine years of research and applied experience across Berkeley, Berkeley Lab, and RAND, he focuses on GHG mitigation in agricultural soils and designing electricity demand reduction payments for California’s peak-of-peak events. He brings strong data-analysis skills in R and Python, discrete choice modeling experience from vehicle choice work, and a track record of funded research (Giannini mini-grants and USDA NIFA support). Connor pairs academic rigor with practical policy relevance, having taught environmental economics and served in graduate governance roles managing funding and labor communication. His background in physics and early work in algorithms and computer vision give him uncommon quantitative breadth for an applied economist. Based in Emeryville, he blends field-focused environmental insight with computational methods to inform scalable climate and energy solutions.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Agricultural and Resource Economics, Doctor of Philosophy - PhD, Agricultural and Resource Economics at University of California, Berkeley
Master of Science - MS, Agricultural and Resource Economics, Master of Science - MS, Agricultural and Resource Economics at University of California, Davis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.