Education
Ph.D. in Computer Science — University of Colorado Boulder, 2025–Present
B.A. in Computer Science & Statistics — Carleton College, 2019–2023
Research
PhD Researcher — CU Boulder, 2025–Present
Advised by Maria Antoniak. Studying narrative structure in large-scale pretraining data and how narrative patterns shape the behavior of large language models.
Advised by Maria Antoniak. Studying narrative structure in large-scale pretraining data and how narrative patterns shape the behavior of large language models.
Research Assistant — UCLA RIPS REU, 2023
Collaborated with the Air Force Research Laboratory to replace high-fidelity supersonic airflow simulations with a faster, comparably accurate multi-fidelity model. Presented at the 2024 Joint Mathematics Meetings. Paper.
Collaborated with the Air Force Research Laboratory to replace high-fidelity supersonic airflow simulations with a faster, comparably accurate multi-fidelity model. Presented at the 2024 Joint Mathematics Meetings. Paper.
Research Assistant — Carleton College, 2020–2023
Conducted research across three projects during undergrad: NLP fairness (counterfactual data augmentation for toxicity classification), statistical graphics (scagnostics for model fit evaluation — first place, USRESP 2023), and an educational programming game in React/TypeScript.
Conducted research across three projects during undergrad: NLP fairness (counterfactual data augmentation for toxicity classification), statistical graphics (scagnostics for model fit evaluation — first place, USRESP 2023), and an educational programming game in React/TypeScript.
Professional
Machine Learning Engineer — General Motors, 2023–2025
Designed and deployed generative AI pipelines for supply chain teams, including a search engine for impactful, recent news articles, an automatic tariff invoice processing pipeline, and an end-to-end supplier triage system that coordinates high-urgency issues within GM's supply chain. Across projects, I integrated models with scalable MLOps infrastructure using Kubernetes and Azure DevOps, and also gained experience working with enterprise-level AI systems.
Designed and deployed generative AI pipelines for supply chain teams, including a search engine for impactful, recent news articles, an automatic tariff invoice processing pipeline, and an end-to-end supplier triage system that coordinates high-urgency issues within GM's supply chain. Across projects, I integrated models with scalable MLOps infrastructure using Kubernetes and Azure DevOps, and also gained experience working with enterprise-level AI systems.
Software Engineer Intern — National Center for Atmospheric Research, 2022
Built a new search engine for NCAR using Spring Boot, enabling scientists to efficiently discover resources across the organization's seven research labs. Final presentation.
Built a new search engine for NCAR using Spring Boot, enabling scientists to efficiently discover resources across the organization's seven research labs. Final presentation.
Teaching
Teaching Assistant — CU Boulder Computer Science Department, 2025–Present
Teaching Assistant — Carleton College Statistics Department, 2022–2023
Undergraduate Career Counselor — Carleton College Career Center, 2020–2023