Currently I am an assistant professor at Instituto Tecnológico Autónomo de México (ITAM). I teach courses for the Department of Statistics and the masters programme in Data Science at ITAM. I collaborate on the project of the Climate Modeling Alliance (CliMA), in which I am contributing towards Data Assimilation and Uncertainty Quantification for complex simulators as the ones encountered in climate modeling and broad engineering applications. My research interests gravitate around Bayesian inverse problems, nonparametric inference, stochastic processes, and numerical analysis.

Academic Background

I received my PhD from the University of Liverpool while doing research at the Institute for Risk and Uncertainty + School of Engineering. My dissertation focused on non-parametric Bayesian Statistics in computer code analysis driven by Gaussian processes, Bayesian inference and automatic calibration. I obtained my Masters in Data Science at ITAM (Instituto Tecnológico Autónomo de México). I have a Bachelor degree in both Applied Mathematics and Actuarial Sciences. To learn about my teaching experience please visit here.


alfredo {dot} garbuno [at] itam (dot) mx

Department of Statistics
Instituto Tecnologico Autonomo de Mexico
Mexico City, Mexico

About this site

This site was build using both Hyde, a theme which provides a fully furnished Jekyll setup, and Jekyll- scholar a cool plugin for academic-oriented blogs (though a pain for github pages). It is inspired by the amazing Michael A Osborne’s customization of Hyde’s environment.