Nan Pond is a VP of Nature-Based Research and Monitoring with nine years of applied data science and forest biometrics experience, currently leading nature-based science at Rubicon Carbon. She blends R programming, spatial analysis, and carbon accounting expertise to translate forest inventory and remote-sensing data into robust monitoring and certification practices. Her career moves from field-based silviculture and Peace Corps forestry extension to academic research and industry leadership reflect a rare combination of hands-on forest measurement and advanced statistical modeling. As an adjunct professor and former chief biometrician, she excels at building reproducible workflows for forest and carbon data and communicating technical methods to practitioners and certifiers. Based in Albuquerque, she focuses on making forestry data both scientifically rigorous and operationally useful for landscape-scale carbon programs.
9 years of coding experience
7 years of employment as a software developer
Ph.D., Forest Biometrics; Silviculture, Ph.D., Forest Biometrics; Silviculture at Michigan Technological University
Kingston High School
B.S., Forest and Natural Resources Management; Environmental and Forest Biology, B.S., Forest and Natural Resources Management; Environmental and Forest Biology at State University of New York College of Environmental Science and Forestry
Contributions:3 pushes, 1 branch, 3 comments in 10 months
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.
Request Free Trial
Nan Pond - VP, Nature-Based Research And Monitoring