Profile

Currently I am a postdoctoral scholar at California Institute of Technology (Caltech), in a joint research project between the Department of Computing + Mathematical Sciences (CMS), and the Division of Geological and Planetary Systems (GPS). My research focuses on Uncertainty Quantification for complex simulators as the ones encountered in climate modeling and engineering applications. My research interests gravitate around Bayesian inverse problems, stochastic processes, numerical analysis, and both stochastic and deterministic partial differential equations. I am also interested in large scale applications of mathematical models, often encountered in numerical optimisation and pattern recognition tasks as in machine learning. As a professional, I have specialised in numerical methods, statistical modelling, data visualisation and applied probability models.

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. My teaching experience has been in undergraduate-level courses in Numerical Methods, as well as a tutor in the Statistic’s Department at ITAM. The latter being as a TA in the UK system. I have been a Teaching Assistant in both Engineering and Computer Science departments in UoL, such as in object oriented programming, MATLAB programming for engineers and database management.

Contact

agarbuno [at] caltech (dot) edu

Computing + Mathematical Sciences
Geologial and Planetary Systems
California Institute of Technology
Pasadena, California

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.