Jennifer Hu

Computational Linguist

Jennifer is an Assistant Professor of Cognitive Science at Johns Hopkins University and a former Research Fellow at Harvard’s Kempner Institute. With a PhD from MIT, her research bridges cognitive science, language, and machine learning to uncover how humans communicate so efficiently. Through computational modeling and experiments, she explores the mind’s inner workings while advancing safe AI—pursuing knowledge that inspires innovation for a brighter, more thoughtful future.

Can AI Show Us How Language Works?

Language is part of what makes us human. For the first time in history, artificial models are now using language in sophisticated ways. By exploring how AI learns language, we can uncover new insights into our own learning processes and better appreciate the remarkable flexibility and efficiency of our minds.

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