Jennifer Hu
I am an Assistant Professor of Cognitive Science and Computer Science at Johns Hopkins University, where I direct the Group for Language and Intelligence.
My work aims to understand the computational principles that underlie human language, and how language and cognition might be achieved by artificial models. I approach these questions by combining cognitive science and machine learning, with the dual goals of understanding the human mind and safely advancing artificial intelligence.
Previously, I was a Research Fellow at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University. I earned my Ph.D. in Brain and Cognitive Sciences at MIT, and my B.A. in Mathematics and Linguistics at Harvard.
Recent News
- 2026 Co-organized the Dagstuhl Seminar on Social Intelligence in AI Systems.
- 2026 My TEDxNewEngland talk, "Can AI Show Us How Language Works?", was selected as a TED Global Editor's Pick.
- 2026 Contributed an article on AI Model Evaluation for the Open Encyclopedia of Cognitive Science.
- 2026 Gave invited talks at the UChicago/TTIC NLP Seminar, ILFC Seminar, and UT Austin South by Semantics Seminar.
- 2026 Two papers accepted at ICLR 2026.