Christopher Haberland


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I am currently an NLP Data Scientist at USAA building systems for information extraction, grammar induction, corpus analytics, and speech recognition. My most recent work attempts to induce explainable and unsupervised ontologies of text corpora for intelligible, discrete concept featurization of domains. Previously, I was an NLP Engineer at, a semantic search and voice assistant startup.

Prior to graduating from the University of Washington with an M.S. in Computational Linguistics, I obtained an M.P.P. from the University of Virginia and served as an Economics Fellow researching spatio-temporal accounting of ecosystem services with the U.S. Forest Service’ Research and Development branch.


September, 2021 - Orthographic Transliteration for Kabyle Speech Recognition accepted to ICNLSP 2021 - Project GitHub

January, 2021 - Economics of invasive species book chapter published in Invasive Species in Forests and Rangelands of the United States