Kevin McElwee

Research Software Developer

Kevin McElwee

After graduating Princeton in 2018 with a degree in Music, Kevin worked as a machine learning engineer in the energy sector, where he developed deep learning software that helps utilities predict electric consumption.

Kevin freelances as a data journalist, with articles appearing in the Columbia Journalism Review, Nautilus Magazine, and Motherboard. In his spare time, he also researches serious and not-so-serious topics.

For his research with the CDH, he’s building neural networks that mimic artists, like Bach and Jackson Pollock. He’s exploring how artificial intelligence will challenge what we value in art and researching how automation can be used as a source of inspiration.

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