Summary
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.
9 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 Edinburgh
Master's degree, Physics, Master's degree, Physics at Durham University