Bryan is a Software Engineer and Research Analyst at FairVote, where he manages and develops software tools to analyze how ranked choice voting (RCV) and proportional RCV ensure elections have representative outcomes. Leveraging his expertise in data science and quantitative research, he is committed to using data-driven research to support voting rights and electoral reform. He holds a Bachelor’s in Government with a minor in Data Science from Cornell University. In 2020, he was selected as the Kohut Undergraduate Research Fellow at the Roper Center for Public Research. He was previously the Lani Guinier Voting Rights Fellow at FairVote. Bryan currently resides in the DC area.
Bryan Huang
Software Engineer and Research AnalystPosts By Bryan Huang
Federal Elections / July 09, 2026
Graham Platner’s replacement and ranked choice voting
Federal Elections / June 25, 2026
Analyzing Maine’s primary results: Voter behavior, consensus winners, and the impact of cross-endorsements
Federal Elections / June 19, 2026
Maine releases ranked choice voting primary results
Primary & Runoff Elections / June 17, 2026
Takeaways from the first ranked choice voting election in Washington, DC
Reforms in Action / June 15, 2026
What to know as Washington, DC uses ranked choice voting for the first time
Reforms in Action / June 10, 2026
How candidates could win in Maine’s high-turnout ranked choice voting primaryReports By Bryan Huang
Reforms in Action / February 02, 2026
Ranked choice voting in 2025: a year in review
Federal Elections / October 28, 2024
An analysis of statewide election recounts, 2000-2023
Primary & Runoff Elections / September 22, 2024
Fewest votes wins: plurality victories in 2024 primaries