PICoL People

Ethan Wilcox

Ethan Gotlieb Wilcox is an Assistant Professor of Computational Linguistics and the director of PICoL. He is interested in how we learn language from limited inputs and how we process it in real-time. To answer these questions, he and the PICoL team use a variety of methods, including psycholinguistics experiments, formal mathematical and statistical models, and modern machine-learning techniques.

GitHub Website



Lauren Levine

Tatsuya Aoyama is a 5th-year Ph.D. candidate in Linguistics. His research interests include topics in computational psycholinguistics. In particular, he is interested in the following areas: (1) language acquisition and pretraining dynamics, (2) language processing, and (3) (mechanistic) interpretability.

Website



Lauren Levine

Lauren Levine is a Ph.D. candidate in Computational Linguistics at Georgetown University, within the department of Linguistics. Her research focuses on the discourse phenomenon of bridging, where the referent an anaphor is inferable via the comprehension of a non-identical associative antecedent. Her work focuses on linguistic annotation/resource creation, modeling for the task for bridging resolution, and investigating bridging with relation to LLMs and natural language reasoning. She is also generally interested in corpus linguistics and computational semantics.

GitHub


Xiulin Yang

Xiulin Yang is a second-year PhD student in Computational Linguistics at Georgetown University. Her research interests include language modeling, language universals, (compositional) generalization of neural networks, LLMs, and semantics.

GitHub Website



Devika Tiwari

Devika Tiwari is a second-year PhD student in Computational Linguistics and Cognitive Science. She is interested in how we can use computational tools to understand how language is processed in the mind and brain. She is also working on topics in neurolinguistics and figurative language processing.

GitHub Website



Hyun Min

Hyun Min is a first-year PhD student in the computational concentration from Busan, Korea. He is interested in robust representations of structure in language, and how humans and statistical learners predict structure and resolve ambiguities. Prior to Georgetown, he was an NLP engineer at NCSOFT.

GitHub Website



Wesley Scivetti

Wesley Scivetti is a 3rd year Ph.D. candidate in Computational Linguistics. His research centers on the linguistic interpretability of language models, with particular focus on using Construction Grammar to understand language model performance. He is also interested in corpus linguistics and resource creation, low-resource NLP, information theory, and models with human-scale training data.

GitHub Website



Dan DeGenaro

Dan DeGenaro is originally from White Plains, NY. He is finishing up his MS in computational linguistics, after which he will begin his PhD in computer science, both at Georgetown. Dan is interested in the development of safe, ethical, and energy-efficient multimodal intelligent systems that serve the needs of everyday people while respecting important rights such as privacy, copyright, and the right to be forgotten. He is also interested in low-resource machine translation and speech recognition, multilingual NLP, and information-theoretic approaches to language modeling and linguistics. GitHub Website



Lanni Bu

Lanni Bu is a first year Master’s student in computational linguistics. Her research interests include computational psycholinguistics and cognitive modeling.

GitHub






Georgetown Image