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Hi there šŸ‘‹

build: running Pronouns: He/Him Editor: VSCode

I am Shannon Quinn, currently:

  • an Associate Professor at University of Georgia
  • a Principal AI/MI Scientist at PredxBio
  • interested in anything i) šŸ‘Øā€šŸ’» open source, ii) šŸ PyData, and iii) šŸ© donuts

šŸ”­ What I do here...

On GitHub specifically? That's... complicated.

I've had recruiters complain to me that they don't see very many actual code contributions on my account. That's because

  • teaching all but consumed my academic career starting a few years before the pandemic, and most certainly during
  • in that time, all you'd really see from me are slide decks, assignment PDFs, and HTML updates sporting links to said slide decks and assignment PDFs
  • actual coding was still happening, but 1) in uncomfortably small quantities, and 2) usually in private repos (active experiments, corporate repos, etc)

I vividly remember attending the Magical NumPy with JAX workshop as part of SciPy 2021, and suddenly being struck by the thought: it was my first time actually writing code in close to a year.

I resolved at that point to start prioritizing my own coding and work back to the kinds of activity levels I had in the mid-2010s and earlier.

Most of the work I do involves building frameworks composed of existing open source projects, so it is infrequent that I build something worth contributing back to the projects directly, BUT: open source is extraordinarily important to me, and so I'm making time to contribute back even if it's in the form of documentation.

šŸŒ± Iā€™m currently learning...

Rust! And brushing up on Julia after a few years away. Also dipping into DevOps work, particularly as I spin up and maintain my own Mastodon instance.

šŸ’¬ Ask me about...

Python, data science, image processing, or running.

āš” Fun fact...

I ran over 1600 miles in a year once. I hope to break that record someday!

šŸ“« How to reach me...

Shoot me a message via twitter or e-mail, or even create an issue!

Shannon's Projects

pybot icon pybot

Python framework for creating and deploying Twitter bots.

pygencuts icon pygencuts

Python implementation of the Eigencuts spectral clustering algorithm.

pysc icon pysc

PySpark Spectral Clustering.

pyspark-affinities icon pyspark-affinities

Proof-of-concept for computing pairwise affinities (a la spectral clustering) in a Pyspark environment.

snp icon snp

Social Network Portal.

tpot icon tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

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