Jocelyn Pender is a biodiversity data scientist based in Ottawa with a decade of experience turning ecological questions into reproducible data products using Python, R, SQL, GIS and visualization tools. She has led data science and web development teams at national conservation organizations, deploying machine learning (including HMMs and species distribution models) and building API wrappers and automation pipelines to scale biodiversity data access. Her background blends academic bioinformatics (MSc) with hands-on conservation analytics—from LiDAR-derived habitat features to automated acoustic species detection—while championing Git, open science and internal data standards. Known for practical tooling and teaching (running Git workshops and internal "Data Chats"), she pairs technical rigor with clear communication to support field biologists and decision-makers.
10 years of coding experience
10 years of employment as a software developer
M.Sc. Biology, Specialization Bioinformatics, M.Sc. Biology, Specialization Bioinformatics at University of Ottawa
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