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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 (formerly called GraSPy), 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.

Ben Pedigo's Projects

skedits-app icon skedits-app

Tools for orchestrating skeleton analysis in cloud infrastructure

skervice icon skervice

Skeletonization service for the CAVE ecosystem

sparse_decomposition icon sparse_decomposition

Implementations from "A New Basis for Sparse PCA" paper at https://arxiv.org/abs/2007.00596

statsmodels icon statsmodels

Statsmodels: statistical modeling and econometrics in Python

synapse-analysis icon synapse-analysis

IPython notebook demoing some of analysis on synapses from Princeton graph

talks icon talks

Catalog of slides for talks

up-for-grabs.net icon up-for-grabs.net

This is a list of projects which have curated tasks specifically for new contributors. These issues are a great way to get started with a project, or to help share the load of working on open source projects. Jump in!

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