Kari Norman is a computational ecologist and Biological Scientist with 11 years of experience applying quantitative and computational methods to biodiversity science. Trained with a PhD from UC Berkeley and a BS in Conservation and Restoration Ecology and Statistics from Utah State, Kari designs methods to detect biodiversity change by integrating large, existing biodiversity datasets with efficient future sampling strategies. She currently holds roles at the U.S. Forest Service and as a postdoctoral fellow at Université de Montréal, bridging applied management and academic research. Kari’s work emphasizes pragmatic solutions for monitoring change at scale, combining ecological insight with statistical rigor and a focus on making big biodiversity data actionable for conservation decision-making.
11 years of coding experience
Doctor of Philosophy - PhD, Environmental Science, Policy, and Management, Doctor of Philosophy - PhD, Environmental Science, Policy, and Management at University of California, Berkeley
Bachelor of Science - BS, Conservation and Restoration Ecology; Statistics, Bachelor of Science - BS, Conservation and Restoration Ecology; Statistics at Utah State University
Contributions:2 releases, 34 pushes, 1 branch in 2 years 9 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.