Jordan Kodner is an assistant professor at Stony Brook University who combines computational linguistics and cognitive science to model child language acquisition, with a particular focus on algorithmic morphology and its role in language change and low-resource NLP. With a PhD and MSE from the University of Pennsylvania and 14 years of research and industry experience—including an Amazon Alexa NLU internship and work at Raytheon BBN—he bridges rigorous theoretical work and practical systems. His research uniquely ties models of grammar learning to historical linguistics and language variation, informing evaluation practices at the intersection of NLP and cognitive modeling. An intellectually wide-ranging scholar, he also publishes and researches topics from Singlish and Shona to paleontology and computing history, reflecting an uncommon breadth that fuels creative cross-disciplinary insights.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at University of Pennsylvania
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Jordan Kodner - Assistant Professor at Stony Brook University