Kevin Stowe is a research scientist and computational linguist with 11 years of experience building and evaluating NLP systems focused on generative AI, semantics, and computational creativity. He has a PhD in Linguistics and Computer Science and a track record of academic and industry research—from postdoctoral work in Darmstadt to applied generation projects at ETS and, most recently, research at Pindrop. Kevin’s work bridges controlled, responsible text generation and crisis informatics, with publications on using transformer models to improve educational content and generation safety. He combines deep linguistic expertise (metaphor, lexical resources) with practical machine learning engineering, having also developed apps and ML prototypes earlier in his career. Based in Chicago, he pursues NLP for social good and brings a rare mix of theoretical rigor and product-oriented research. An active web presence documents his experiments and tools for reproducible, ethical generation research.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Linguistics and Computer Science, 3.95, Doctor of Philosophy - PhD, Linguistics and Computer Science, 3.95 at University of Colorado
B.A, Linguistics, B.A, Linguistics at Michigan State University
Master's degree, Computational Linguistics, Master's degree, Computational Linguistics at Indiana University
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