Nora Williams
Research Scientist at Meta
United States
Summary
👤
Senior🎓
Top SchoolNora Williams is a research scientist specializing in social science methods and generative AI evaluation, with nine years of experience bridging academic research and applied machine learning. She holds a PhD in Political Science from the University of Washington and is co-author of two quantitative social science textbooks, reflecting deep expertise in images-as-data, NLP, and policy analysis. Nora has published on protests, social media, and the political power of images, and brings regional knowledge of post-Soviet politics informed by Fulbright and Peace Corps fieldwork across Central Asia and Liberia. Her career spans faculty roles and applied research positions, most recently joining Meta after five years as an assistant professor, signaling a shift toward large-scale, production-focused research. An often-overlooked strength is her hands-on experience combining quantitative policy analysis training with practical field research, which shapes robust, real-world evaluation of AI and social media systems.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of WashingtonDual Masters, Dual Masters at Indiana University BloomingtonB.A., B.A. at Middlebury College
Russian, Kazakh, Uzbek, Spanish
Github Skills (14)
quantitative10
data-science9
science9
replication7
tidyverse7
intelligent5
uima5
sparql5
java4
machine-learning3
active-learning3
entity-linking2
semantic2
knowledge-management1
Programming languages (3)
Github contributions (5)
norawebbwilliams/image_autotaggers
Aug 2018 - Jul 2021
Contributions:28 commits, 12 pushes in 3 years
norawebbwilliams/images_as_data
Oct 2018 - Oct 2020
Replication for Cambridge Elements
Contributions:1 release, 22 commits, 19 pushes in 1 year 11 months
replication
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