Lucy Farnik

I’m an ML PhD student at the University of Bristol researching robustness and continual learning in LLM agents under Laurence Aitchison.
I started coding at age 7 and by age 18 I was a senior dev at a startup. After a few years working there, I decided to switch to ML research. During undergrad I collaborated with researchers from Oxford, Berkeley, and FAR AI. I then did ARENA, MATS (mentored by Neel Nanda from Google DeepMind), and lots of other research placements. I’ve also received over $100k in research grants and I cofounded a small research org working on AI security and emerging tech policy. My Erdős number is 4.
I’ve published at ICLR/ICML in areas ranging from RL theory to LLM interpretability. Most recently, I’m excited about ways that LLM agents can effectively learn from their open-ended interactions with their environment, and how we can ensure that the things they’re learning are aligned with what we want.
I’m always excited to meet new people with similar research interests – do feel free to reach out! :) You’re also welcome to send me anonymous advice/feedback.
selected publications
- In Forty-second International Conference on Machine Learning, 2025
- In The Twelfth International Conference on Learning Representations, 2024
- In The Thirteenth International Conference on Learning Representations, 2025