Before coming to UBC, I was a Business Analytics Coordinator at Pfizer Inc. I also worked in the quick counts' committee for Mexico's 2018 general election under Manuel Mendoza. (I created a webpage for content related to this project.)
I completed my undergraduate degree in Applied Mathematics at ITAM in Mexico City. I wrote my thesis under Ernesto Barrios on an efficient algorithm to find optimal Bayesian experimental designs. You can read more about it here .
In my free time, I enjoy road biking around Vancouver, cooking fresh pasta, and reading sci-fi and fantasy novels.
I am mostly interested in Bayesian computational statistics, probability theory, statistical emulation (GPs), and in applying all these to develop algorithms with theoretical guarantees that allow us to solve large-scale problems.
I am also interested in statistical education. Currently, I work in the Flexible Learning and StatSpace projects, where we develop teaching and learning resources for introductory statistical courses.