Shavindra Jayasekera

Welcome to the website! I am a third-year PhD student Statistics and Machine Learning at Imperial College London and the University of Oxford, supervised by Prof. Yingzhen Li and Prof. Ruth Misener.

Prior to this, I did my undergraduate and masters in mathematics at University of Cambridge, Trinity College, followed by a masters in computational statistics and machine learning at University College London.

These are a few of the things that interest me at the moment:

Uncertainty quantification in large language models and decision making under uncertainty
Bayesian interpretations of in-context learning
LLMs for scientific discovery - especially in chemistry and drug discovery
Probabilistic machine learning
Mechanistic interpretability and explainability of foundation models
AI safety and alignment
Cool maths

If any of these topics interest you, I am always open to collaborations and discussions! Feel free to reach out to me via email or LinkedIn.

selected publications

NeurIPS

Variational Uncertainty Decomposition for In-Context Learning

I Shavindra Jayasekera^*, Jacob Si^*, Filippo Valdettaro, Wenlong Chen, 1 more author , and Yingzhen Li

In Advances in Neural Information Processing Systems (NeurIPS), 2025

arXiv Bib

@inproceedings{jayasekera2025variational,
  title = {Variational Uncertainty Decomposition for In-Context Learning},
  author = {Jayasekera, I Shavindra and Si, Jacob and Valdettaro, Filippo and Chen, Wenlong and Faisal, A Aldo and Li, Yingzhen},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
}