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bdpedigo/README.md

Benjamin D. Pedigo / Homepage / Twitter / Google Scholar

I am a Scientist at the Allen Institute for Brain Science, focusing on data science techniques for helping to understand nanoscale connectomes.

I did my PhD in the Deparment of Biomedical Engineering at Johns Hopkins University, advised by Joshua Vogelstein and Carey Priebe in the NeuroData lab. My thesis developed statistical and computational techniques for analyzing connectome data, and applied them to the connectome of an insect brain.

I am also a developer of graspologic, an open-source Python package for doing statistical analyses of network data which I now co-develop with Microsoft Research. I am broadly interested in making data analysis techniques in neuroscience more accessible through open-source software.

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  1. graspologic-org/graspologic graspologic-org/graspologic Public

    Python package for graph statistics

    Python 807 143

  2. networks-course networks-course Public

    A short course on network data science at Johns Hopkins University

    Python 20 26

  3. networkframe networkframe Public

    Lightweight representations of networks using Pandas DataFrames

    Python 1

  4. neurodata/marp-poster-template neurodata/marp-poster-template Public

    Template for an academic poster using Marp

    CSS 36 4

  5. neurodata/bilateral-connectome neurodata/bilateral-connectome Public

    A paper investigating bilateral symmetry of connectome networks.

    Python 6 3

  6. neurodata/bgm neurodata/bgm Public

    Repository for the paper "Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes" https://direct.mit.edu/netn/article/doi/10.1162/netn_a_00287/113527/…

    Python 2 2