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 also worked as a research assistant for Manuel Mendoza in the quick counts’ committee of Mexico’s 2018 general election. Check this webpage if you’re interested.
In my free time, I enjoy road biking around Vancouver, reading sci-fi and fantasy novels, and cooking fresh pasta.
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!
[Sept 2022] Our paper on using structured and interactive resources to teach Bayesian inference has been accepted at ICOTS!
- [Apr 2022] I will be the graduate student representative of UBC statistics. Check out our website here
[Aug 2021] I presented my master’s thesis in the UBC Statistics seminar. You can find the slides here and the pdf here
[Apr 2021] I received the graduate TA award from the department of statistics and I was also nominated for a Killam TA award
[Mar 2021] I will be staying at UBC for my PhD starting in September 2021. I’m very happy to have received a four year doctoral fellowship
[Nov 2020] I won the best master’s presentation prize at the 2020 SEC trainee research day. The slides are here
- Structured, interactive resources for teaching Bayesian inference
Gian Carlo Diluvi, Bruce Dunham, Nancy Heckman, Melissa Lee, Rodolfo Lourenzutti
International Conference on Teaching Statistics, 2022
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- Using online student focus groups in the development of new educational resources
Gian Carlo Diluvi, Sonja Isberg, Bruce Dunham, Nancy Heckman, Melissa Lee
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Locally-adaptive boosting variational inference
Gian Carlo Diluvi
University of British Columbia, 2021 (MSc thesis)
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Bayesian design of experiments for generalized linear models
Gian Carlo Diluvi
Instituto Tecnológico Autónomo de México (ITAM), 2018 (BSc thesis)
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- How does it make you feel?
Gian Carlo Diluvi
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- 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:
beta-binomial dashboard normal-normal dashboard code
Power and sample size calculations
dashboard slides code StatSpace
Effective data visualization with R
dashboard code StatSpace
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!