Scientist I at Allen Institute for Neural Dynamics
Greater Phoenix Area United States
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Summary
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Senior
🎓
Top School
Vergil Haynes is a computational scientist and applied mathematician with eight years of experience translating nonlinear dynamical systems thinking into practical tools for neuroscience and biophysics. He designs and implements end-to-end analysis and ML pipelines that fuse in vivo optical physiology, electrophysiology, and spatial transcriptomics to reveal cell-type specific circuit dynamics. Comfortable at the intersection of theory, simulation and data, he has built multiscale models (NEURON, NetPyNE, The Virtual Brain), advanced signal-processing workflows for Neuropixels/LFP/SUA, and used simulations to boost ML feature engineering by >15%. A collaborative communicator and trainer, he’s advised dozens of student projects and contributed open-science data conversions (NWB) and reproducible tooling. Based in Greater Phoenix, he brings a rare combination of theoretical rigor, practical software engineering, and domain fluency that accelerates discovery in experimental neuroinformatics.
8 years of coding experience
6 years of employment as a software developer
Summer Workshop on the Dynamic Brain @ Allen Institute for Brain Science, Summer Workshop on the Dynamic Brain @ Allen Institute for Brain Science at University of Washington
Science Outside the Lab science policy course @ Consortium for Science, Policy, and Outcomes, Science Outside the Lab science policy course @ Consortium for Science, Policy, and Outcomes at Arizona State University
Methods in Computational Neuroscience course @ Marine Biological Laboratory, Methods in Computational Neuroscience course @ Marine Biological Laboratory at University of Chicago
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at University of Central Florida
OSB Showcase project containing examples of NWB data
Contributions:2 PRs, 36 pushes in 3 months
osbshowcaseproject-showcasenwb
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