About Me

Hello! I’m a PhD candidate in EECS at UC Berkeley, advised by Dan Klein and Jack Gallant. I am interested in the intersection of natural language, cognitive neuroscience, and machine learning. I am affiliated with BAIR and have received support from the NSF Graduate Research Fellowship and the IBM PhD Fellowship. In Summer 2022 I interned at the Allen Institute for AI on the Semantic Scholar team.

Before coming to Berkeley, I received a Fulbright Student Grant to work on causal inference and neuroscience at LMU Munich and MPI Tuebingen, advised by Moritz Grosse-Wentrup. I graduated with a BSE in Computer Science from Princeton with minors in Neuroscience, Statistics and Machine Learning, and Applied Math. There, I was fortunate to work with Ken Norman, Elad Hazan, and Zahra Aminzare.

Outside of research I like to run, swim, and learn languages.

Publications

The Cortical Representation of Language Timescales is Shared between Reading and Listening
Catherine Chen, Tom Dupré la Tour, Jack Gallant, Daniel Klein, and Fatma Deniz.
Nature Communications Biology 2024
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Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction
Boyi Li,* Rodolfo Corona,* Karttikeya Mangalam,* Catherine Chen,* Daniel Flaherty, Serge Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein.
NAACL Findings 2024

Learning to Perform Role-Filler Binding with Schematic Knowledge
Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman.
PeerJ 2021
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The Cortical Representation of Lexical Semantics is Shared across English and Chinese
Catherine Chen,* Lily Gong,* Christine Tseng, Daniel Klein, Jack Gallant, Fatma Deniz.
Society for the Neurobiology of Language (SNL) 2022

The Cortical Representation of Linguistic Structures at Different Timescales is Shared between Reading and Listening
Catherine Chen, Tom Dupré la Tour, Jack Gallant, Daniel Klein, Fatma Deniz.
Conference on Cognitive Computational Neuroscience (CCN) 2022

Representations of Linguistic Information at Different Timescales in the Human Brain During Reading and Listening
Catherine Chen, Tom Dupre la Tour, Jack Gallant, Dan Klein, Fatma Deniz.
Society for Neuroscience (SfN) 2021

Generalized Schema Learning by Neural Networks
Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman.
Conference on Cognitive Computational Neuroscience (CCN) 2018
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A Temporal Decay Model for Mapping between fMRI and Natural Language Annotations
Kiran Vodrahalli, Catherine Chen, Viola Mocz, Chris Baldassano, Uri Hasson, Sanjeev Arora, Kenneth A. Norman
Conference on Cognitive Computational Neuroscience (CCN) 2017

*=equal contribution