Hannah Sansford
PhD student in Statistics
hannah.sansford@bristol.ac.uk
School of Mathematics
University of Bristol
PhD student in Statistics
hannah.sansford@bristol.ac.uk
School of Mathematics
University of Bristol
I am a PhD student at the Centre for Doctoral Training in Computational Statistics and Data Science at the University of Bristol, supervised by Professor Patrick Rubin-Delanchy and Professor Nick Whiteley.
My research is involved with uncovering hidden structure in networks and other high-dimensional data. In particular, applying spectral methods to graph embeddings, and understanding the conditions under which high-dimensional data concentrate around lower-dimensional latent structure.
I have completed two 6-month internships at Amazon during my PhD. In the first, I researched the problem of hallucination detection in LLM responses, developing a novel technique GraphEval, based on representing information in Knowledge Graph structures. In the second, I researched methods to improve LLM-generation of frontend code, using recursive self-improvement and efficient latent/implicit thinking.
Outside of work, some things I enjoy include: DJ-ing, attending music events, hiking , playing board games and making tasty vegan food.
Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy, (2026).
(Under Review)
Hannah Sansford, Derek H.C. Law, Wei Liu, Abhishek Tripathi, Gerrit J.J. Van den Burg, (2026).
(To appear) ICLR 2026 Workshop on AI with Recursive Self-Improvement.
Hannah Sansford, Nick Whiteley, Patrick Rubin-Delanchy, (2025).
(Under Review)
Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada, (2024).
KiL'24: Workshop on Knowledge-infused Learning co-located with 30th ACM KDD Conference.
Selected for oral presentation.
Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy, (2023).
International Conference on Artificial Intelligence and Statistics (AISTATS).
Selected for oral presentation (<2% of all submissions).
KiL'24: Workshop on Knowledge-infused Learning co-located with 30th ACM KDD Conference, August 26, 2024, Barcelona, Spain (Paper presentation).
Harvard University, May 2023 (Invited online seminar).
International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, April 2023 (Paper presentation).
Compass Annual Conference, Bristol, U.K., September 2022 (Invited talk).