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Hello! My name's Kevin 👨🏻‍💻

I am optimistic about the possibilities of applied mathematics, particularly machine learning, to inform debate and serve the public good. I currently work as a programmer at Princeton University in the Center for Digital Humanities, helping professors and students develop their data-driven research projects. Before Princeton, I worked in the energy sector, building machine learning models that increase efficiency on the electrical grid.

Check out my repos that explore...

The Energy Sector

I've built multiple energy grid models with the Open Modeling Framework (dpinney/omf), an open-source project that—through partnerships with national labs and the Department of Energy—develops online tools for electric utilities. Partnered with the OMF, I also studied how deep learning can be used to predict energy consumption, a suprisingly under-researched field. Increasingly accurate energy predictions can help utilities with peak shaving, a process where small mistakes can cost tens of thousands of dollars. Read about my deep learning research.

📈 Data Journalism

🎨 Art & Machine Learning:

With the Center for Digital Humanities, I'm researching how machine learning will challenge what we value in art and studying how automation can be used as a source of inspiration. Check out my first project, kmcelwee/mondrianify that uses edge-detection to transform images into paintings by Piet Mondrian.

🤖 Twitter bots

Reach out!

I'm always open to helping organizations and journalists with their technical projects! Since starting my work at Princeton, I've had less time for freelance work, but I'm still doing business as Brown Analytics, LLC. I'm also actively looking for opportunities to volunteer my technical skills to non-profits supporting LGBT rights 🏳️‍🌈

Pinned Loading

  1. Analysis of Fortune 100 twitter data

    Jupyter Notebook

  2. A bot that posts the top-rated content from the r/aww subreddit to Twitter

    Python 6 1

  3. scrabble Public

    An analysis of what Scrabble tile values make the game more fair

    Jupyter Notebook 1

  4. A pipeline for turning images into paintings by Piet Mondrian

    Python 4

  5. A data scrape and analysis of

    Jupyter Notebook 5 1

  6. An algorithm for multiplicative persistence research

    Python 1

1,525 contributions in the last year

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Activity overview

Contribution activity

December 2021

Created 1 commit in 1 repository

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