General Profile:

I’m a researcher and software engineer trying to push the future of AI in a slightly more positive direction. I started coding at age 7, which allowed me to become a senior software developer at a tech startup at age 18. I worked in that role for 4 years while completing high school and a Bachelor’s degree at the University of Bristol. I started working on AI research at the end of January 2023. Since then I’ve submitted an inverse RL paper to NeurIPS as the second-name author along with people from Oxford and UC Berkeley, worked on fine-tuning language models using fMRI data to encourage more human-like feature spaces, done multiple research placements in GPT interpretability, and a few other smaller projects. My research interests broadly include anything that can make AI safer and more robust to distribution shifts, as well as research aimed to help policymakers create more sensible regulation around frontier models. More concretely, I’m currently interested in mechanistic interpretability and model evaluations, but I expect this to change over time.