Asa Stickland
Researcher at AI Safety Institute
City of Edinburgh, Scotland, United Kingdom
Summary
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Rockstar🎓
Top SchoolAsa 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.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning/NLP, Doctor of Philosophy - PhD, Machine Learning/NLP at The University of EdinburghMaster's degree, Physics, Master's degree, Physics at Durham University
Github Skills (14)
chatbot10
large-language-models9
multi-task-learning9
language-model9
transformers8
bert7
gpt7
tensorflow6
python6
pytorch5
openai4
vulnerabilities2
sequence-to-sequence1
ai1
Programming languages (4)
Github contributions (5)
AsaCooperStickland/kl-then-steer
Oct 2023 - Jun 2024
Contributions:37 PRs, 120 pushes, 30 branches in 8 months
AsaCooperStickland/Spike_And_Slab
Feb 2017 - Mar 2017
Implementation of Gibbs sampling for spike and slab priors
Contributions:22 commits, 19 pushes, 1 branch in 17 days
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