Matthew Caudill

Assistant Professor And Director Of The Data Analytics Core

Houston, Texas, United States
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Summary

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Senior
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Top School
Matthew Caudill is an Assistant Professor and Director of the Data Analytics Core at Baylor College of Medicine/Texas Children’s Neurological Research Institute with 11 years of experience applying applied mathematics and advanced statistical learning to neurological datasets. Trained as a physicist (PhD, Washington University in St. Louis) he combines rigorous computational modeling with experimental neuroscience to probe brain function and disorders. His prior work includes developing widely used Matlab tools for visual stimulus generation (StimGen) and identifying cortical circuits that integrate stimuli with surrounding context. He leads multidisciplinary analytics efforts translating complex neural signals into actionable insights for clinical and research teams. Based in Houston, he brings a rare blend of theoretical physics, hands-on code development, and neuroscience experimentation to foster reproducible, community-oriented tools and analyses.
code11 years of coding experience
bookDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Washington University in St. Louis
bookB.S. / B.A., Physics, B.S. / B.A., Physics at Wake Forest University
languagesEnglish
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Github Skills (10)

statistical-learning10
signal-processing10
digital-signal-processing10
python9
r9
big-data8
open-access8
journal8
creative-commons7
academia6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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mscaudill/tabbed

Jan 2025 - Dec 2025

Contributions:1 release, 1 PR, 130 pushes in 10 months
mscaudill/openseize

Aug 2021 - Mar 2023

Digital Signal Processing for Big EEGs
Contributions:3 releases, 1 review, 635 commits in 1 year 7 months
digital-signal-processingbig-dataeegseizuresignal-processing
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