Casey Kennington is an associate professor and researcher with a decade of experience building spoken dialogue and human-robot interaction systems, blending expertise in speech recognition, language understanding, grounded semantic representation, and incremental dialogue. She leads the SLIM Research Group at Boise State University, translating cognitive and computational linguistics insights from her Ph.D. into practical multi-modal and interactive robotic systems. Her background spans academic and industry settings—including postdoc work on an “intelligent apartment” and an end-to-end dialogue internship at Honda Research Institute—highlighting a knack for moving research into real-world interfaces. Casey combines rigorous machine learning and data-science methods with a focus on dialogue management and LLM-centered language understanding, and she often tackles the messy, incremental aspects of conversation that many systems overlook.
10 years of coding experience
8 years of employment as a software developer
Masters, Computational Linguistics, Masters, Computational Linguistics at Universität des Saarlandes
BS, Computer Science, BS, Computer Science at Brigham Young University
Masters, Cognitive Science, Masters, Cognitive Science at Universite de Lorraine
Ph.D, Linguistics, Natural Language Understanding, Semantics, Incremental Dialogue Systems, Ph.D, Linguistics, Natural Language Understanding, Semantics, Incremental Dialogue Systems at Universität Bielefeld
Associates, Computer Science, Associates, Computer Science at Treasure Valley Community College
Logger/Replayer for sensor data and bridge between network protocols
Contributions:1 PR, 1 push, 1 issue in 6 years 9 months
loggerbridgenetwork-monitoringsensornetflow
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