David Farnham is a Senior Director of Data Science with a PhD from Columbia University and a decade of experience applying AI and machine learning to climate, water, and energy problems. At ClimateAi he leads and scales a team that turns climate risk science into operational products for agriculture and critical infrastructure, blending hands-on modeling with customer-facing product work. His background spans academic research and peer review across top journals, giving him deep domain expertise in hydrology and climate risk engineering. Known for translating complex environmental data into actionable business outcomes, he also collaborates with Columbia on water-focused innovation—an indication of ongoing ties to academic research while driving commercial impact.
11 years of coding experience
6 years of employment as a software developer
B.S.; B.A. (Summa Cum Laude) Civil Engineering; Mathematics, B.S.; B.A. (Summa Cum Laude) Civil Engineering; Mathematics at University at Buffalo
Ph.D.; Earth and Environmental Engineering Department Water Resources and Climate Risk Engineering, Ph.D.; Earth and Environmental Engineering Department Water Resources and Climate Risk Engineering at Columbia University
Contributions:79 pushes, 1 branch in 4 years 10 months
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