Kyra Swanson
Research Coordinator
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolKyra Swanson is a Research Coordinator and computational neuroscientist with 11 years of programming experience focused on reinforcement learning and machine learning. With a PhD in Neuroscience and a BS in Computer Science, she bridges biological decision-making and algorithmic models to tackle real-world conservation problems. Currently applying ML to field-driven initiatives at the San Diego Zoo Wildlife Alliance, she translates complex research into deployable tools for wildlife protection. Her background includes a postdoctoral fellowship at the Smithsonian National Zoo, reflecting hands-on experience in both lab and applied conservation settings. Driven by a commitment to help the planet in crisis, she blends rigorous experimental science with practical software skills to deliver impact. A detail that often surprises collaborators: she pairs deep theoretical insight into decision mechanisms with decade-plus software craftsmanship, enabling both novel experiments and production-ready solutions.
11 years of coding experience
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at American University
Github Skills (16)
camera10
sqlite-extension10
trap10
classify9
deep-learning8
machine-learning8
polar7
python7
sqlite6
observation5
activity-recognition4
logging3
post-processing3
responsive3
measurements3
Programming languages (4)
Github contributions (5)
conservationtechlab/animl-py
Mar 2023 - Apr 2025
Animl comprises a variety of machine learning tools for analyzing ecological data. This Python package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.
Contributions:5 releases, 23 reviews, 70 PRs in 2 years 1 month
conservationtechlab/animl-r
Dec 2021 - Jan 2023
Animl comprises a variety of machine learning tools for analyzing ecological data. The package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.
Contributions:2 releases, 18 reviews, 108 commits in 1 year 1 month
analyzingpythondeep-learningcameravideos
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