Alberto Caron 🏀

Alberto Caron

Research Associate

The Alan Turing Institute

Short Bio

I am a Research Associate in Statistics & Machine Learning at The Alan Turing Institute. Previously, I was a PhD student at the Department of Statistical Science, University College London, under the supervision of Prof. Ioanna Manolopoulou and Prof. Gianluca Baio. Before that, I graduated with a Master of Science in Statistics & Econometrics from Bocconi University.

My research very generally revolves around Causality and Bayesian/Probabilistic Machine Learning, and how these can be used 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.

I have been serving as a Teaching Assistant for the following modules at UCL:

  • STAT0001: Economics
  • STAT0006: Linear Models
  • STAT0007: Stochastic Processes

More about me in my CV section.


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(2022). Counterfactual Learning with Multioutput Deep Kernels. Transactions on Machine Learning Research.

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(2022). Interpretable Deep Causal Learning for Moderation Effects. 2nd Interpretable Machine Learning for Healthcare Workshop, ICML 2022.

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(2022). Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. Journal of Computational and Graphical Statistics.

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(2022). Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review. Journal of the Royal Statistical Society: Series A (Statistics in Society).

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Causal Machine Learning
Building Probabilistic/Bayesian Machine Learning tools for the estimation of causal effects.
Example Project
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