Hi! I'm Samuel. I'm an election scientist-turned-reformer. I use scientific computing and election science methods to understand and reform electoral institutions.
After completing a PhD in Political Science and Scientific Computing and MS in Math at the University of Michigan, I spent a few years hanging out in the tunnels of M.I.T., where I worked as the Research Director of the wonderful MIT Election Data and Science Lab. I'm now the Research Director of GoodParty.org, where I help thousands of nonpartisan and independent candidates to increase electoral contestation and serve their communities.
I've worked on the data team of several reform-oriented or progressive parties and organizations, and I've written code to help administer the elections of large non-governmental entities. Before wandering away from academic political science, I studied problems in electoral democracy using novel empirical and computational methods. The core focus of my academic research was the connection between comparative electoral institutions and voting behaviour: how do the rules of elections shape the way that people vote? I also developed computational methods for political science, and published large empirical datasets. I have also served as an Editorial Board Member of the Nature journal Scientific Data. If you're interested in electoral strategy, empirical measurement of political phenomena, and especially the practical effects of election reform, please check out my research links below.
Hi! I'm Samuel. I'm an election scientist-turned-reformer. I use scientific computing and election science methods to understand and reform electoral institutions.