Radu Parvulescu
Analyst at Statistics Canada | Statistique Canada
Saint John, New Brunswick, Canada
Summary
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Top SchoolRadu Parvulescu is a computational social scientist and analyst with nine years of experience designing and executing mixed-methods research that blends web scraping, archival work, and in-depth interviews. Currently at Statistics Canada and a PhD candidate at Cornell, he specializes in statistical and social simulation modeling to track long-term trends and evaluate public policy impacts on labour, political discourse, and gender inequality. He has a strong record of communicating results to policy, academic, and general audiences and teaching research design and statistics. Equally comfortable with quantitative code and qualitative fieldwork, he routinely produces open, reproducible analyses that inform decision-making. Fluent in multicultural, multilingual research contexts, he has led data collection projects spanning legal and media sources in multiple languages. Notably, his work bridges rigorous social theory with pragmatic policy outcomes, making complex systemic dynamics usable for stakeholders.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Sociology, Doctor of Philosophy - PhD, Sociology at Cornell UniversityBachelor's degree, Sociology, First class honours, Bachelor's degree, Sociology, First class honours at McGill University
English, Romanian, Arabic, French, Spanish, German
Stackoverflow
35reputation
2kreached
0answers
2questions
Github Skills (12)
doc6
docx6
python6
regex6
zip6
mesa4
mobility3
logistics3
agent-based-modeling2
agent2
agent-based-simulation2
simulation2
Programming languages (1)
Github contributions (5)
r-parvulescu/ABM-VCA
Nov 2020 - Jan 2021
Contributions:63 commits, 13 pushes, 1 branch in 2 months
r-parvulescu/r-parvulescu.github.io
May 2020 - Nov 2020
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:51 pushes in 6 months
templategithub-pages-templatemmistakesmistakesjekyll
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