Kyle Puhger
Research Scientist at University of California, Davis
Davis, California, United States
Summary
👤
Senior🎓
Top SchoolKyle Puhger is a neuroscientist-turned-machine learning research scientist at UC Davis with nine years of experience applying deep learning, computer vision, and signal-processing methods to large-scale neural and behavioral datasets. He builds end-to-end pipelines—processing multi-terabyte video collections, automating face detection/alignment, and deploying models such as self-supervised GNNs and fine-tuned FaceNet—to translate complex biology into reproducible engineering solutions. His open-source tooling, including a neuromorphopy package that streamlines access to 250k+ neuron reconstructions, has materially accelerated dataset creation and model development across labs. A published first author and frequent mentor, Kyle leads coding workshops and code reviews that elevate team technical rigor while serving as a bridge between AI practitioners and domain experts. He blends rigorous experimental design from his PhD in Biological Psychology with pragmatic ML engineering to deliver scientific insights at scale.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biological Psychology, 3.97 GPA, Doctor of Philosophy - PhD, Biological Psychology, 3.97 GPA at University of California, Davis
Github Skills (45)
centerline10
toolbox9
python9
packaging9
morphology9
resolver9
medical-imaging8
tree-structure8
3d-images8
multiplayer7
text-editor7
medical-image-processing7
image-processing7
dependency-management7
dependency-manager7
Programming languages (4)
Github contributions (5)
kpeez/paperchat
Feb 2025 - Mar 2026
An AI research assitant
Contributions:48 PRs, 89 pushes, 61 branches in 1 year
kpeez/deep-neuronmorpho
Mar 2025 - Aug 2025
Deep learning based approaches for neuron morphology embeddings.
Contributions:35 PRs, 94 pushes, 43 branches in 5 months
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