Samuel Wang
Candidate For Congress
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolSamuel Wang is a neuroscientist-turned-public-interest data scientist and academic leader with over two decades at Princeton University and a decade-plus applying quantitative methods to democracy and elections. He founded the Princeton Gerrymandering Project and the Electoral Innovation Lab, where he combines computational modeling, statistical analysis, and policy-focused tools to make redistricting and electoral reform evidence-based and actionable. A co-founder of the Princeton Election Consortium, he pairs deep research credentials (PhD Stanford, BS Caltech) with hands-on civic technology that has influenced public debate and litigation. Now running for Congress, he frames his campaign as an effort to "save science and rebuild democracy" from the inside, bringing a rare mix of laboratory rigor, legislative experience, and public-facing communication (including a widely read popular neuroscience book) to policy reform.
10 years of coding experience
5 years of employment as a software developer
California Institute of TechnologyPhD, Neuroscience, PhD, Neuroscience at Stanford University
Github Skills (10)
parsing6
lda6
python5
data-processing4
data-science3
sam2
tax1
delegates1
remedy1
sarif1
Programming languages (3)
Github contributions (5)
SamWangPhD/gerrymandering
Jun 2016 - Feb 2018
Contributions:3 commits, 1 PR, 2 pushes in 1 year 8 months
stanfordpythonlawreviewaid
SamWangPhD/data-backend
Jun 2020 - Jul 2020
All code related to scraping, parsing, cleaning, and processing data used by PEC
Contributions:6 pushes in 26 days
cleaningpythondata-processingparsingscraping
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