About Me
Welcome! I am Alberto Caron, a Research Associate at The Alan Turing Institute. Previously I was a PhD student at the Department of Statistical Science, University Collge London. Before that, I graduated with a Master of Science in Statistics & Econometrics from the Bocconi University. My research very generally revolves around Causality and Bayesian/Probabilistic Machine Learning methods, and how these can be harnessed for decision-making.
Previous to, but also during, my PhD, I have worked on a number of external applied research/consultancy projects on environmental and energy policy evaluation. Particularly, I have served as a researcher/consultant for the World Bank Group and for the UK governmental Department of Business, Energy & Industrial Strategy.
When I am not working, I enjoy playing music 🎸, play a variety of sports (badly) ⚽️🏀🎾 and cooking italian deliciousness 🍝.
Research Interests
- Causality
- Probabilistic and Bayesian Machine Learning
- Bayesian Active Learning
- Sequential Optimal Experimental Design
Some Publications (full list on Google Scholar)
- Caron, A., Hicks, C. & Mavroudis, V., "The Whys and Hows of Active Exploration in Model-Based Reinforcement Learning.", 17th European Workshop on Reinforcement Learning, 2024. [Link]
- Liang, X., Caron, A., Livingstone, S., Griffin, J., "Structure Learning with Adaptive Random Neighborhood Informed MCMC.", 36th Advances in Neural Information Processing Systems, 2023. [Link]
- Caron, A., Baio, G., Manolopoulou, I., "Counterfactual Learning with Multioutput Deep Kernels.", Transaction on Machine Learning Research, 2022. [Link]
- Caron, A., Baio, G., Manolopoulou, I., "Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation.", Journal of Computational and Graphical Statistics, 2022. [Link]
Contact
If you would like to get in touch, please email me at acaron@turing.ac.uk.
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