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  Gian Carlo Diluvi



I am an MSc student in the Department of Statistics at the University of British Columbia, Canada, where I work under the supervision of Trevor Campbell and Benjamin Bloem-Reddy.

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.

Research interests

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.

Some publications

  1. Di-Luvi, G. C. (2019). How does it make you feel? Significance, 16(3), 26-29.
  2. Di-Luvi, G. C., Mendoza, M., and Orantes, G. (2018). La estadística detrás de los conteos rápidos de 2018. (Statistics in the 2018 Mexican general election quick counts.) Laberintos e Infinitos, 48, 29-37.
  3. Di-Luvi, G. C. (2018) Diseño Bayesiano de experimentos para modelos linales generalizados. (Bayesian design of experiments for generalized linear models.) Undergraduate thesis.
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Page at UBC Statistics.

Page at UBC SEC.