Michael Buice
Associate Investigator
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMichael Buice is a theoretical and computational neuroscientist with a PhD in theoretical physics and over a decade of experience translating mathematical insight into scalable models and algorithms for neural population dynamics. Based in Seattle, he has led interdisciplinary research programs at the Allen Institute since 2012, developing analytic and simulation-based methods—often implemented in C/C++—to probe coupled network behavior. His work blends advanced techniques from quantum field theory and statistical physics with practical machine learning and data-analysis pipelines to bridge theory and experiment. Known for turning deep mathematical approaches into collaborative, reproducible code, he brings both research rigor and production-minded engineering to large-scale neuroscience projects.
10 years of coding experience
11 years of employment as a software developer
B.S./B.A., Physics/Mathematics, B.S./B.A., Physics/Mathematics at University at BuffaloPhD, Physics, PhD, Physics at University of Chicago
Github Skills (32)
deploying9
jupyter-book9
brain-computer-interface8
meta-analysis8
agent-based-modeling8
jupyterlab8
digital-humanities8
ecology8
bioinformatics8
scientific-publications8
agent-based-simulation7
jupyter7
jupyter-notebook7
management6
infrastructure6
Programming languages (5)
Github contributions (5)
mabuice/AllenSDK
Oct 2017 - Feb 2023
Contributions:47 pushes, 2 branches in 5 years 4 months
AllenInstitute/SWDB_2019
Jun 2019 - Aug 2019
Repository for course materials for the Summer Workshop on the Dynamic Brain 2019
Contributions:66 commits, 22 PRs, 37 pushes in 2 months
brainagent-based-modelingworkshopdeep-learningmachine-learning
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