Dan Mccloy is a research scientist trained in acoustic phonetics and auditory neuroscience, with 14 years of experience studying speech perception, auditory attention, and individual differences in multitalker environments. Based at the University of Washington’s Institute for Learning & Brain Sciences, he combines MEG/EEG analysis with linguistic theory to investigate literacy, dyslexia, and how distortion (noise, dialect, hearing aids) affects intelligibility. He contributes to open-source scientific software—most notably MNE-Python documentation and improvements—and has front-end experience enhancing the PyData Sphinx theme for accessibility and UI polish. Equally comfortable with data analysis (Python, R, Praat) and clear visual communication, he brings a rare mix of rigorous neuroscience, practical coding, and 10+ years of professional design/production experience. Known for efficient, clear communication and rapid learning, he also has a background spanning analytical chemistry to nonprofit leadership, which informs his interdisciplinary, user-focused approach.
14 years of coding experience
11 years of employment as a software developer
MA, PhD, Linguistics, MA, PhD, Linguistics at University of Washington
A clean, three-column Sphinx theme with Bootstrap for the PyData community
Role in this project:
Front-end Developer
Contributions:8 releases, 594 reviews, 18 commits in 1 year 9 months
Contributions summary:Dan primarily contributed to the front-end aspects of the PyData Sphinx Theme. Their work includes fixing CSS issues related to the navbar, addressing the layout and styling of the search button and field, and implementing the version switcher feature. Additionally, they made changes related to code highlighting styles and improved the accessibility of the theme. The user's contributions focused on enhancing the user interface and improving the overall user experience.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Technical Writer & Code Contributor
Contributions:5 releases, 1621 reviews, 409 commits in 7 years 6 months
Contributions summary:Dan's contributions primarily involved creating and improving the MNE-Python documentation. They added new tutorials, refined existing ones, and updated the format and style of the website. The user's work included converting documentation references to bibtex, fixing broken links, and addressing formatting issues.
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Dan Mccloy - Research Scientist at University of Washington