Sean Spinney
Bioinformatician
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolSean Spinney is a bioinformatician in Montreal with eight years of experience applying AI and statistical methods to cognitive neuroscience and brain imaging. He blends a strong quantitative foundation (BMath in Statistics) with a Master's in AI from Mila to build deep learning pipelines, hierarchical Bayesian decision-making models in Stan, and mixed-effects analyses for fMRI/MRI studies. At CHU Sainte-Justine he programs end-to-end analysis workflows, cleans and curates participant databases, and produces reproducible reporting that supports clinical research. His background as a Mila graduate student and long-term research assistant gives him fluency translating cognitive psychology questions into computational experiments. Sean’s work sits at the uncommon intersection of applied machine learning and experimental design, making him adept at both model-building and the practical data hygiene that enables robust neuroimaging inference.
8 years of coding experience
9 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Mila - Quebec Artificial Intelligence InstituteBachelor of Mathematics, Statistics, Bachelor of Mathematics, Statistics at Université de Montréal
Github Skills (19)
science6
cnn-architecture6
propagation6
targets5
machine-learning5
meta-learning5
python5
data-science4
pipeline4
deep-learning3
data-visualization3
pytorch3
architecture3
incremental-learning3
scaling3
Programming languages (6)
Github contributions (5)
scspinney/theoretical_framework_for_target_propagation
Jan 2022 - Mar 2022
Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
Contributions:4 PRs, 67 pushes, 5 branches in 1 month
propagationpythonfairness-mlbootstrappingpython-implementation
scspinney/pgm-fmri
Nov 2020 - Jul 2021
Contributions:8 PRs, 57 pushes, 5 branches in 7 months
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