Currently I am the academic director of the Msc in Data Science and 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. My research interests gravitate around Bayesian inverse problems, data assimilation, nonparametric Bayesian methods, stochastic processes, and stochastic differential equations. Part of my research has been developed and incorporated on the project of the Climate Modeling Alliance (CliMA). My contribution in the project is aimed towards data assimilation and uncertainty quantification for complex simulators. This is a very common endeavor that can be encountered in broad engineering applications.

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.


Soon I’ll set up an academic blog within my site. Stay tuned!


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.