Position | Research Fellow in computational statistics and machine learning |
Email (@ucl.ac.uk) | h.dellaporta |
Themes | Computational Statistics; General Theory and Methodology |
Biographical Details

Harita Dellaporta is a research fellow in Computational Statistics and Machine Learning at UCL and a member of the Fundamentals of Statistical Machine Learning research group. Prior to that, she completed her PhD at the University of Warwick as part of the CDT in Mathematics and Statistics.
Research Interests
Her research focuses on statistical machine learning and the challenges associated with model misspecification, simulator models and decision-making under uncertainty. She is particularly interested in robust methodologies, generalised notions of Bayesian inference and distributionally robust optimisation.
Selected Publications
- Dellaporta, C., Knoblauch, J., Damoulas, T., Briol, F-X., 2022. Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, 25th International Conference on Artificial Intelligence and Statistics, (AISTATS 2022).
- Dellaporta, C*., O'Hara, P.* and Damoulas, T., 2024. Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. arXiv preprint arXiv:2411.16829.