Summary
Stuart Graham is a data scientist and PhD candidate in biology with a decade of experience turning ecological questions into scalable, reproducible data products and analyses. At Meta he built ForestPlot, an R package and website ecosystem for forest inventory workflows, and developed a regularized regression approach that matches prior models’ accuracy while using under 1% of the computation time. He combines deep statistical expertise, experimental design, and teaching experience—having trained 600+ students and mentored undergraduates—to make complex methods accessible. His work spans ETL pipelines, open code for reproducible science, cross-institutional collaborations, and securing external funding for field experiments, reflecting both technical rigor and practical impact.
10 years of coding experience
Doctor of Philosophy - PhD, Biology: Data Science, Doctor of Philosophy - PhD, Biology: Data Science at University of Washington
Master of Science - MS, Ecology and Evolutionary Biology, Master of Science - MS, Ecology and Evolutionary Biology at University of Montpellier
Bachelor of Science - BS, Biology, General, Bachelor of Science - BS, Biology, General at University of Bristol
Master of Science - MS, Ecology and Evolutionary Biology, Master of Science - MS, Ecology and Evolutionary Biology at Uppsala University