Aaron Mueller

Assistant Professor at Boston University

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
Aaron Mueller is an Assistant Professor and NLP researcher with a decade of experience probing what large neural models know and how to make them more robust, interpretable, and editable. He bridges academia, industry, and defense labs—having held research roles at Johns Hopkins, Meta, AWS, Raytheon, and Northeastern—bringing practical experience in multilingual MT, few-shot intent classification, and model editing. His work focuses on targeted model editing, concept erasure, and revealing decision-making mechanisms in deep networks to improve reliable generalization across languages. Aaron’s research combines rigorous evaluation (syntactic and multilingual probing) with applied improvements to production-style systems, such as speed-accuracy trade-offs in MT and BLEU gains for low-resource languages. Based in Boston, he brings a linguistics and computer-science background (BS dual degree, MS and PhD from Johns Hopkins) that informs both theoretical insight and hands-on system building. Colleagues note his knack for turning interpretability findings into concrete editing methods that change model behavior without wholesale retraining.
code11 years of coding experience
job8 years of employment as a software developer
bookJohns Hopkins University
bookVisting Academic, Data Science, Visting Academic, Data Science at New York University
bookB.S., Linguistics; B.S., Computer Science, 4.0, B.S., Linguistics; B.S., Computer Science, 4.0 at University of Kentucky
languagesEnglish, french (québec)
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Github Skills (29)

grammars8
machine-learning6
language-model6
python6
pytorch6
mib6
nlp5
natural-language-processing5
transformers4
luke4
conll4
multiclass-classification2
deep-learning2
classification1
audio-classification1

Programming languages (4)

HTMLRoffJupyter NotebookPython

Github contributions (5)

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Contributions:47 commits, 157 pushes, 1 branch in 4 years 5 months
aaronmueller/clams

Apr 2020 - Dec 2021

Syntactic evaluation sets, attribute-varying grammars, and code for replicating the CLAMS paper. ACL 2020.
Contributions:3 commits, 3 pushes, 1 branch in 1 year 7 months
grammars
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