David Wyrick
Scientist at Allen Institute
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDavid Wyrick is a scientist with a decade of interdisciplinary experience blending computational neuroscience, optics, and algorithm development. Currently at the Allen Institute, he applies latent state-space modeling and large-scale neural data analysis honed during a PhD in Computational Neuroscience at the University of Oregon. His background includes developing real-time sensor and tracking algorithms at Boeing and hands-on experimental work with two-photon imaging and Neuropixels datasets, giving him rare fluency across theory, software, and instrumentation. Comfortable with Matlab, C, Python and command-line toolchains, he builds reproducible analysis pipelines and novel network/causality metrics to probe directed functional connectivity. Based in Seattle, he pairs curiosity-driven research—“just a brain investigating how brains work”—with practical engineering experience in sensor systems and large-data workflows.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at University of OregonBachelor's Degree, Physics, 3.90, Bachelor's Degree, Physics, 3.90 at Washington State University
Github Skills (61)
state-space9
bioinformatics7
predictive7
bayesian7
temperature6
julia5
bayesian-inference5
sh5
neuroscience5
imaging5
script4
inference4
robust4
procps4
python4
Programming languages (3)
Github contributions (5)
DgwFreeman/UmbrellaRepository
Aug 2015 - Aug 2019
Contributions:4 PRs, 16 pushes, 3 branches in 4 years
AllenInstitute/openscope_predictive_coding
Jul 2020 - Nov 2022
OpenScope: Predictive Coding
Contributions:1 review, 2 PRs, 6 pushes in 2 years 5 months
predictivepythonmachine-learningpredictive-coding
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