📍 Seattle, WA 🌐 kyrawilson.github.io/me ✉️ [email protected] 📚 Google Scholar 🟢 ORCID: 0009-0001-3955-3409

EDUCATION

PhD in Information Science

University of Washington, Seattle, WA

BA in Linguistics and Computer Science, cum laude

Carleton College, Northfield, MN

• Undergraduate C.S. Thesis: Bird Transformers: Modifying Bird Images Using Natural Language; advised by Dr. Anna Rafferty
• Undergraduate Linguistics Thesis: A Cross-Linguistic Overview of Allocutivity and its Syntactic Accounts; advised by Dr. Cherlon Usury

2023-

2016-2020

RESEARCH INTERESTS

My research aims to measure and evaluate the performance of AI systems, particularly large language models, in terms of fair and equitable outcomes. Interdisciplinary approaches are important to my work, and I’m particularly interested in devising novel ways to evaluate models that more accurately represent their real-world use.

RESEARCH EXPERIENCE

Doctoral Researcher Information School, University of Washington

• Conducted research on LLMs usage for resume screening, including disparate outcomes and human-AI interaction
• Investigate depictions of people with stigmatized identities created using text-to-image generators
• Advisor: Dr. Aylin Caliskan

Research Assistant Neuroscience of Language Lab, New York University Abu Dhabi

• Under the supervision of Dr. Alec Marantz, developed and executed research projects, including experiment design, participant recruitment, running experiments, data analysis, and writing and presenting papers
• Increased efficiency of data analysis by using high performance computing cluster
• Operated and maintained a 208 channel magnetoencephalography (MEG) machine
• Trained other researchers in how to design and execute MEG experiments
• Performed administrative tasks such as record keeping and scheduling

Center for the Study of Language and Information Summer Intern Language and Cognition Lab, Stanford University

• Under the supervision of Drs. Michael C. Frank and Abdullah Fourtassi, investigated children's language development through corpus analysis
• Compared different acquisition models using techniques from Natural Language Processing
• Attended weekly seminars about current theories and methods of studying language and cognition

Summer Research Partner Department of Linguistics, Carleton College

• Under the supervision of Dr. Catherine Fortin, used Python scripting to organize database of Dakota language vocabulary and sentences
• Worked with native Dakota speakers to collect and transcribe language data
• Developed a unified account of Dakota noun phrase structure
• Organized previous scholarship published about Siouan languages

2023-

2020-2023

2019

2018

TEACHING AND MENTORING EXPERIENCE

Teaching Assistant Departments of Linguistics and Computer Science, Carleton College

• Courses: Introduction to Linguistics, Introduction to Syntax, Generative Approaches to Syntax, Social Computing
• Held office hours to assist students with problem sets and review before exams
• Assisted professors with grading, creating review materials, and other course tasks

2018-2020

PUBLICATIONS

() denotes equal contribution*

Conference Proceedings and Journal Articles (Peer Reviewed)

• Wilson, K., & Caliskan, A. (2024). Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval. Proceedings of the 7th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society.
• Irwin, T., Wilson, K., & Marantz, A. (2023). BERT shows garden path effects. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (pp. 3220-3232).
• Wilson, K., Frank, M. C., & Fourtassi, A. (2023). Conceptual Hierarchy in Child-Directed Speech: Implicit Cues are More Reliable. Journal of Cognition and Development, 24(4), 563-580.