Christian Brodbeck is an Assistant Professor and cognitive neuroscientist with 14 years of experience studying how the brain transforms complex acoustic speech signals into meaning. Trained with a PhD in Experimental Psychology from NYU, he blends experimental design, neural data analysis, and open-source software development to probe speech perception using MEG/EEG. His contributions to the widely used MNE-Python project—fixing epoch-averaging bugs and adding source-estimate manipulation and binning methods—underscore a practical commitment to reproducible neuroimaging tools. Based in Hamilton, Ontario, he brings a rare combination of rigorous computational skills and empirical curiosity, translating technical advances into deeper theories of auditory cognition.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Experimental Psychology, Doctor of Philosophy - PhD, Experimental Psychology at New York University
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Back-end Developer & Data Scientist
Contributions:8 reviews, 638 commits, 84 PRs in 10 years 4 months
Contributions summary:Christian primarily focused on enhancing the MNE-Python library. Their work involved fixing bugs related to averaging epochs and the handling of events during data processing. They also added new classes and methods for manipulating source estimates, including methods to return a SourceEstimate object restricted to a label and a method for data binning.
Contributions:137 PRs, 100 pushes, 3 branches in 6 years 1 month
condasmithy
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Christian Brodbeck - Assistant Professor at McMaster University