Profile
Alberto has a background in agricultural economics with experience researching entrepreneurial activity in rural Guatemala. He went on to complete an M.Sc. in Economics and Social Sciences at Bocconi University, focusing on Bayesian non-parametrics, and later earned a Ph.D. in Statistics from Lancaster University. His doctoral work bridged modern machine learning with traditional Monte Carlo methods in Bayesian computation.
Alberto has worked across academia and industry. He interned at Normal Computing as a probabilistic AI engineer, followed by a research associate role at Lancaster University, where he developed statistical software and contributed to academic publications. At the University of Turin, he co-supervised projects on data privacy, administrative data, and predictive modelling for end-of-career health outcomes. He is also a core developer of BlackJAX, an open-source Python library for scalable Bayesian inference built on JAX.
Currently, Alberto is a postdoctoral researcher at the Environmental Change Institute, University of Oxford. As part of the Sustain-a-Bite project, he uses Computable General Equilibrium (CGE) models to evaluate the economic impact of replacing animal-based ingredients with plant-based alternatives in European food systems.