Felix Burton
About
I am interested in diffusion models, geometric deep learning, language models and am based in Cambridge. I'm currently working on representation learning and generative models.
In the past, I’ve looked into Geometric Deep Learning, Machine Learning Interatomic Potentials, and seeing if we can learn a representation of visual inputs where optimal paths are by definition the shortest path through the transformed space.
If you're ever in Cambridge drop me a message at any of the contacts at the bottom of the page!
Timeline
Started Thesis at Cambridge
2026-03-15
University of Cambridge, Cambridge
Beginning MPhil thesis research focusing on advanced machine learning and scientific computing.
FactTrace x Cambridge Hackathon
2026-02-03 FactTrace X Cambridge Hackathon, Cambridge
Developed series of agents to debate of validity of facts in team Polaris. GitHub: https://github.com/Felixburton7/FactTrace-AI
link Best Paper Award
2025-06-20
University of Edinburgh, Edinburgh
I received 1st place thesis prize for my dissertation training deep learning models on large scale simulations to predict protein flexibility (RMSF). GitHub: https://github.com/Felixburton7/Deepflex_v1.0
link Joined Gartner Research & Consulting Tech Startups Division
2024-06-05
Gartner, London
Got an amazing chance to work directly with C-suite at tech startups/scaleups in Europe within Gartners fastest growing division.
link Scholarship exchange to University of Washington
2023-09-02
University of Washington, Seattle
Awarded scholarship for a full year academic exchange program at the Paul G. Allen School of Computer Science & Engineering. Also took the senior-level Biochemistry full-year series taught by members of the Baker Lab (Protein Design Institute ) and Biochemistry Department, which was really awesome.