Adjunct Research Assistant Professor at Temple University
Philadelphia, Pennsylvania, United States
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Summary
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Senior
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Ann Raiho is an Adjunct Research Assistant Professor and senior scientist with 11 years of experience translating messy, high-dimensional ecological and biological data into production-grade decision systems. She has led PhD-level teams and owned technical roadmaps, operationalizing carbon-accounting, MRV, and remote-sensing pipelines at Funga to support nature-based climate solutions across thousands of acres. Her background blends rigorous ecological modeling—from contributions to the PEcAn ecosystem toolbox and tree-ring surrogate models—to hands-on deployment of scalable ML and geospatial workflows in both academia and industry. Ann’s work emphasizes uncertainty quantification and validation, enabling defensible carbon credits and conservation planning informed by high-resolution satellite and microbial data. Based in Philadelphia, she pairs a PhD in Ecology with multi-language scientific computing expertise (Python, R, C++), bringing a rare mix of field-driven insight and production-level engineering.
11 years of coding experience
13 years of employment as a software developer
Master's degree, Ecology, Master's degree, Ecology at Colorado State University
Doctor of Philosophy - PhD, Ecology, Doctor of Philosophy - PhD, Ecology at University of Notre Dame
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at St. Olaf College
High School Diploma, High School Diploma at Visitation School
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Back-end Developer
Contributions:342 commits, 24 PRs, 151 comments in 6 years
Contributions summary:Ann contributed to the core functionality of the Predictive Ecosystem Analyzer (PEcAn) toolbox, specifically implementing and improving model configuration, met file conversion, and data assimilation. The user's work involved creating configuration files and launch scripts, particularly for the LINKAGES model. These changes included defining and manipulating parameters, and adapting the code for a project focused on analyzing climate data.
Contributions:49 commits, 41 pushes, 2 issues in 2 years 4 months
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