Craig Mohn is a principal researcher who blends economics, mathematics, and statistics to build predictive models that illuminate complex systems—from transportation congestion to climate-driven economic impacts and consumer choice. With nearly three decades of applied experience across academia, consulting, and industry, he specializes in econometrics, consumer choice modeling (including advanced multinomial logit variants), and valuation of non-market goods for policy and litigation. He leads technical consulting at Cascade Econometrics, translating domain knowledge and diverse data sources into robust statistical solutions under uncertainty. Trained with a Ph.D. from UC Berkeley and an M.S. in mathematics, he pairs rigorous theoretical grounding with practical tool-building experience dating back to systems work at NCR. An analytical communicator and avid cyclist, he brings a quantitative storyteller’s eye to policy-relevant problems that often hide in plain sight.
8 years of coding experience
21 years of employment as a software developer
Ph.D. Agricultural and Resource Economics, Ph.D. Agricultural and Resource Economics at University of California, Berkeley
M.S. Mathematics, M.S. Mathematics at University of Minnesota
M.A. Environmental and Technology Policy, M.A. Environmental and Technology Policy at Humphrey School of Public Affairs
B.A. Mathematics, B.A. Mathematics at Carleton College
Contributions:22 commits, 20 pushes, 1 branch in 1 year 3 months
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Craig Mohn - Principal Researcher at Cascade Econometrics