Asa Stickland

Researcher at AI Safety Institute

City of Edinburgh, Scotland, United Kingdom
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Summary

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Asa Stickland is a researcher with nine years of experience specializing in machine learning and NLP, currently focused on AI safety research at the AI Safety Institute. They completed a PhD in ML/NLP at the University of Edinburgh and have held postdoctoral and research fellow roles at NYU and Stanford, where their work examined dangerous capabilities and situational awareness in language models. Asa's background spans both academic rigor and industrial internships at Amazon, Facebook, and NAVER Labs, with practical experience in robustness, multilingual NLP, and domain adaptation. Early projects ranged from LIDAR processing for autonomous vehicles to parallelized fluid dynamics simulations, reflecting a strong foundation in C++, HPC, and deep learning. Known for bridging principled evaluation of model risks with hands-on engineering, they have also mentored and led hiring for scholar programs, indicating a talent for developing research teams.
code9 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Machine Learning/NLP, Doctor of Philosophy - PhD, Machine Learning/NLP at The University of Edinburgh
bookMaster's degree, Physics, Master's degree, Physics at Durham University
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Github Skills (16)

mesh8
transformers7
api7
parallel7
gpt6
python6
tensorflow5
language-model5
openai4
sequence-to-sequence1
artificial-intelligence1
machine-learning1
nlp1
sequence1
natural-language-processing1

Programming languages (4)

ShellJavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:37 PRs, 120 pushes, 30 branches in 8 months
Contributions:22 commits, 19 pushes, 1 branch in 17 days
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Asa Stickland - Researcher at AI Safety Institute