Jeremy Manning is an Associate Professor of Psychological and Brain Sciences and director of the Contextual Dynamics Laboratory at Dartmouth, bringing 11+ years of experience in computational cognitive neuroscience. He leads a lab that blends experimental and computational approaches to study learning, memory, and brain network dynamics, with a practical focus on personalized learning tools and open online courses. Jeremy combines deep academic training (PhD in Neuroscience) with hands-on software development—contributing to open-source tooling like the hypertools Python library for visualizing high-dimensional data. His work spans teaching, grant-funded research, and tool-building, aiming to democratize high-quality personalized education while empowering scientists to pursue ambitious questions.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS) Neuroscience, Bachelor of Science (BS) Neuroscience at Brandeis University
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at University of Pennsylvania
A Python toolbox for gaining geometric insights into high-dimensional data
Role in this project:
Data Scientist
Contributions:3 reviews, 121 commits, 27 PRs in 5 years 7 months
Contributions summary:Jeremy primarily contributed to the development of a `plot_coords` function within the `hypertools` library. This function allows for the visualization of high-dimensional data, with the user making iterative changes to accommodate different data dimensionalities and plotting styles. Their work includes implementing PCA for dimensionality reduction and integrating matplotlib for various plot types, indicating a focus on data visualization and the handling of high-dimensional datasets, which aligns with the project's overall goals.
Contributions:5 commits, 5 pushes, 2 comments in 3 years 10 months
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