Katherine Van Koevering

Postdoctoral Researcher at Johns Hopkins DSAI

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Mt. Washington Campus

Baltimore, MD, USA

Curriculum Vitae

Large language models are trained on human language — all of it. That means they absorb not just our vocabulary and grammar, but our biases, our behavioral quirks, our social patterns. I study what that means. I’m a postdoctoral researcher at the Johns Hopkins Data Science and AI Institute, working with Anjalie Field in the Field Lab. My research examines how sociolinguistic variation in prompts shapes LLM outputs, why AI systems exhibit distinctly human behavioral patterns, and how humans and AI systems adapt to each other over time. I received my PhD in 2025 from Cornell University, advised by Jon Kleinberg.

Research interests: AI linguistics  ·  LLM behavior  ·  human/AI communication  ·  human-AI co-adaptation  ·  language variation  ·  computational linguistics  ·  network science

news

Oct 01, 2026 Heading to the Bay Area: presenting our work on the freezing and thawing of linguistic binomials, with an interactive visualizer, at TADA 2026 at UC Berkeley (October 5), then presenting It’s How You Ask: Gender-Associated Linguistic Bias in LLMs at COLM 2026 in San Francisco (October 6–9).
Sep 29, 2026 The Bureaucratization of the Internet: Analyzing the Diffusion of Governance Regimes on Reddit (2011–2023), with Yuanhao Liu and Jon Kleinberg, will appear at ICWSM 2027 and is now on arXiv.
Sep 24, 2026 How to Interpret Agent Behavior was accepted to the NeurIPS 2026 Evaluations & Datasets Track.
Sep 21, 2026 Social Tectonics: Rapid Organization of Online COVID Communities, with Yiquan Hong and Jon Kleinberg, is out in PLOS ONE.
Aug 13, 2026 Our COLM 2026 paper with Anjalie Field, It’s How You Ask: Gender-Associated Linguistic Bias in LLMs, is now on arXiv.