Sergio Bejar
Associate Professor
Mexico City
Summary
👤
Senior🎓
Top SchoolSergio Bejar is an associate professor of political science and quantitative methods with eight years of experience applying statistical modeling, machine learning, and optimization to survey and experimental research on political behavior. Based in Mexico City, he directs the Division of Political Studies at CIDE and has an active track record creating research-grade tools—publishing R packages on CRAN and a Python package on PyPI for inflated discrete choice models. His work blends time-series and panel data, machine learning for sentiment analysis, and bespoke surveys/field experiments across Latin America, producing unique datasets on authoritarian populist parties. Comfortable with R, Python and SQL, he pairs technical rigor with strong communication and interdisciplinary collaboration, and has a history of mentoring and recruiting underrepresented students. An economist by training (MA) and a PhD in Political Science, he brings both policy-relevant empirical insight and production-ready open-source software to academic and applied problems.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Arts - BA, Economics, Bachelor of Arts - BA, Economics at Tecnológico de MonterreyDoctor of Philosophy - PhD, Political Science, Doctor of Philosophy - PhD, Political Science at University of Notre DameM.A., Economics, M.A., Economics at University of Pittsburgh
English, Spanish
Github Skills (7)
journal7
open-access7
academia6
creative-commons5
bayesian4
machine-learning3
survival3
Programming languages (3)
Github contributions (5)
Sergio-Bejar/MCA_CIDE
Jan 2024 - Jun 2024
Contributions:172 pushes, 46 branches in 4 months
Sergio-Bejar/POLS2
Jan 2021 - Jan 2024
Contributions:2 PRs, 32 pushes, 2 branches in 3 years
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