I am a PhD student in statistics at UBC, where I also completed my MSc. My supervisors are Trevor Campbell and Ben Bloem-Reddy. I did my BSc in applied math at ITAM under the supervision of Ernesto Barrios.
Before coming to UBC, I was a business analytics coordinator at Pfizer. I was also part of the quick counts team during Mexico’s 2018 presidential election, working as a research assistant for Manuel Mendoza. Check this webpage if you’re interested.
In my free time, I enjoy road cycling around Vancouver with Gruppetto, as well as running and hiking (who in Vancouver doesn’t?). I also like reading sci-fi novels and, recently, contemporary female Latin American writers (thanks mainly to my wife Sarah).
I am mostly interested in developing algorithms for Bayesian inference with theoretical guarantees that allow us to solve large-scale problems. While I thoroughly enjoy methodological developments, I strive to always have a specific real-world problem(s) in mind.
I am also interested in statistical education, and particularly in finding ways to improve and expand the teaching of Bayesian statistics in the undergraduate curricula.
[Apr 2023] New preprint on a new fully-online methodology for assessing educational resources in development!
Mixed variational flows for discrete variables
Gian Carlo Diluvi, Benjamin Bloem-Reddy, and Trevor Campbell
International Conference on Artificial Intelligence and Statistics, 2024
copy bibtex arXiv slides
Structured, interactive resources for teaching Bayesian inference
Gian Carlo Diluvi, Bruce Dunham, Nancy Heckman, Melissa Lee, Rodolfo Lourenzutti
International Conference on Teaching Statistics, 2022
copy bibtex pdf slides
- Using online student focus groups in the development of new educational resources
Gian Carlo Diluvi*, Sonja Isberg*, Bruce Dunham, Nancy Heckman, Melissa Lee
copy bibtex arXiv
- TA trainer, department of statistics @ UBC
- STAT 450 case studies in statistics, spring 2022 @ UBC
- STAT 302 introduction to probability, spring 2020 @ UBC
- STAT 200 elementary statistics for applications, spring 2020 @ UBC
- STAT 203 statistical methods, fall 2019 @ UBC
- EST 14102 probability II, spring and fall 2016 @ ITAM
Flexible learning: an initiative that brings together open and vetted resources to help promote the teaching and learning of introductory statistics.
Here are the resources that I have developed:
Understanding type I errors, type II errors, and p-values
Distribution of the p-values under the null hypothesis of a one-sample z-test
If you are interested in doing an MSc or a PhD in statistics at UBC, reach out! I am happy to chat and help answer any questions you have. Don’t forget to check out the website of the UBC statistics grad student association.
Check my UBC stats webpage for contact info.
Latinx students: Canadá tiene una linda comunidad estadística latinx, tanto en Vancouver como en Toronto. Si tienes dudas o quieres ayuda en tu solicitud a un programa de posgrado, ¡contáctame!