Hi! I'm a predoctoral researcher on the AllenNLP team at Ai2, where I work broadly on problems in machine learning, natural language processing, and AI policy. I've been awarded an NSF Computer Science Graduate Fellowship, and I'm advised by Pradeep Dasigi and Jesse Dodge.

Research Interests

My research generally spans machine learning and natural language processing. I work to improve and better understand modern language models, and I've recently focused on efficiently adapting them to specialized domains, building better evaluations, and measuring and reporting the environmental impact of AI.

I'm also a strong supporter of open science. I've contributed to various openly released tools and platforms including OLMo, Dolma, RewardBench, and OLMoE, with more coming soon.

Public Policy

I spend a portion of my time helping policymakers understand and address the societal impacts of advances in AI. I started and currently lead Ai2's public policy efforts, through which I regularly engage with policymakers at the local, state, and federal levels. I previously served on the City of Seattle's Generative AI Policy Advisory Group.

Education & Experience

I received my masters in computational linguistics and bachelors in computer science from the University of Washington, where I worked with Jungo Kasai and Yangfeng Ji, and was advised by Noah Smith.

I've previously worked on code & program synthesis at X, the moonshot factory and Google Labs, language + vision models at Ai2, and platform health at Twitter. I also spent a few years as a software engineer at Tableau and Google. See my CV for more details.

Service

In my free time, I serve in a number of positions in the UW Alumni Association including as a District Dawg, on the GOLD Council, and as an early career mentor. I'm also on the City University Community Advisory Committee, where I help advise on major capital projects on UW's campus as well as in the greater University District.