Gian Diluvi
Doctoral Researcher at The University of British Columbia
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolGian Diluvi is a PhD candidate in Statistics at UBC with nine years of industry and research experience bridging applied analytics and Bayesian methodology. He has a strong background in business analytics from roles at Pfizer and practical political-data work at Mexico’s National Electoral Institute, which informs his rigorous, impact-oriented research. Currently focused on developing algorithms for Bayesian inference over discrete variables, he combines theoretical training from his MSc and ongoing PhD with hands-on data science practice. Based in Vancouver, he brings experience delivering insights in commercial settings and translating them into novel probabilistic algorithms. Colleagues describe him as someone who moves fluidly between production analytics and foundational statistical research, often spotting practical constraints early in algorithm design.
9 years of coding experience
2 years of employment as a software developer
PhD, PhD at The University of British ColumbiaBSc, BSc at Instituto Tecnológico Autónomo de México
Spanish, English
Github Skills (5)
react6
tibble4
spotify4
python3
music3
Programming languages (2)
Github contributions (5)
giankdiluvi/first-bayes-r
Nov 2020 - Dec 2023
Contributions:1 PR, 20 pushes, 2 branches in 3 years 1 month
giankdiluvi/giankdiluvi.github.io
Oct 2019 - Jan 2023
My personal webpage:
Contributions:217 commits, 9 PRs, 269 pushes in 3 years 3 months
reactpersonal-webpagewebpage
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