Jeff Kao is a computational journalist at ProPublica who uses data science to cover technology and artificial intelligence. He used natural language processing techniques to uncover 1.3 million fake comments submitted to the FCC in its proceeding repealing net neutrality. This work was cited in the Washington Post, Fortune Magazine, and Engadget, among other publications, and by members of the U.S. Senate. He has appeared as a data scientist in the New York Times and on the WNYC program Science Friday. Kao previously worked as a machine learning engineer at Atrium LTS, where he developed natural language processing systems for legal services. He holds a law degree from Columbia Law School, where he was the editor-in-chief of the Columbia Science and Technology Law Review and a bachelor’s degree in systems design engineering from the University of Waterloo.
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