Daniel Gale
Postdoctoral Fellow at Centre for Neuroscience Studies at Queen's University
Calgary, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolDaniel Gale is a postdoctoral fellow and data scientist with 10 years’ experience specializing in MRI data analysis, neuroimaging AI, and reproducible software for large, memory-intensive brain datasets. He leads analysis of a multi-lab non-human primate MRI study and has built cloud-based pipelines and probabilistic ML tools that power biomarker discovery and clinical decision-support applications. Comfortable in Python, Julia, and production cloud environments, he combines rigorous mixed-effects and network modeling with practical error-mitigation and QC strategies. His work spans academic publication and product-focused engineering, including automated multimodal feature pipelines for epilepsy and platform-grade MRI quality tooling. Based in Calgary, he brings a rare blend of open-science practice and hands-on platform development that accelerates translational neuroimaging.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Queen's University
English, French
Github Skills (66)
python10
brain-imaging10
statistics10
data-science10
apptainer10
data-analysis10
data-formats10
machine-learning10
decoding10
neuroimaging10
surface10
nifti9
nilearn9
singularity-container9
dockerfile9
Programming languages (5)
Github contributions (5)
danjgale/psyc-917
Dec 2019 - Apr 2020
Contributions:38 commits, 19 pushes in 4 months
danjgale/surfplot
Jun 2021 - Dec 2022
A package for publication-ready brain surface figures
Contributions:2 releases, 156 commits, 9 PRs in 1 year 6 months
brainsurfacefigures
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