Bryan Huang

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. Bryan currently resides in the DC area while pursuing a part-time Master’s in Data Science from American University. 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.