Tyler Simko
PhD Candidate Government
South Amboy, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolTyler Simko is a PhD candidate in Government at Harvard with 11 years of experience applying quantitative social science and causal inference to state and local politics, especially education, housing, and policing. He teaches data-driven courses in American politics and data science, and has repeatedly led instruction in visualization and experimental methods at top institutions including Harvard, MIT, and Princeton. A former two-term elected Board of Education president, he pairs academic rigor with practical governance experience, having run a randomized experiment during a reelection campaign and overseen measurable district improvements like higher graduation rates and reduced absenteeism. His research and code contributions (including work on the widely used qss supplementary materials) demonstrate fluency in R and Python for statistical analysis, text processing, and visualization. Based in South Amboy, NJ, he blends hands-on local policy impact with advanced methodological work in causal inference and multilevel modeling.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Government, Master's degree, Government at Harvard UniversityBachelor of Arts (B.A.), Politics, Statistics & Machine Learning, Bachelor of Arts (B.A.), Politics, Statistics & Machine Learning at Princeton University
French, English
Stackoverflow
193reputation
14kreached
13answers
4questions
Github Skills (19)
data-visualizations10
r10
data-visualisation10
statistical-models10
data-visualization10
data-analysis10
probability9
causal-inference9
hypothesis-testing9
hypothesis-tests9
spritekit6
parse-platform6
swift6
android6
css6
Programming languages (4)
Github contributions (5)
kosukeimai/qss
Dec 2016 - Sep 2017
Supplementary Materials for ``Quantitative Social Science: An Introduction''
Role in this project:
Data Scientist
Data ScientistContributions:25 commits, 8 PRs, 8 comments in 9 months
Contributions summary:Tyler contributed code primarily focused on analyzing data and implementing statistical methods within the context of the "Quantitative Social Science" repository. Their work included loading and manipulating datasets, conducting statistical analyses like calculating means, medians, and standard deviations, and creating visualizations such as histograms and scatter plots. They demonstrated an understanding of causal inference, hypothesis testing, and probability distributions, implementing and analyzing these concepts with provided data.
social-sciencesciencequantitativedata-science
tylersimko/tylersimko.github.io
Jun 2017 - Mar 2025
Contributions:125 pushes, 1 branch in 7 years 9 months
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