Wes Pegden is an Associate Professor in the Department of Mathematical Sciences working on discrete probability, diffusion processes, and combinatorics. He was an NSF postdoctoral fellow at the Courant Institute before joining CMU in 2013, and is currently a Sloan fellow. In 2017, his work was used as evidence in the gerrymandering case in Pennsylvania brought by the League of Women Voters, where he testified as an expert witness.
In February of this year, the Pennsylvania Supreme Court found Pennsylvania's Congressional districting to be an unconstitutional partisan gerrymander. This talk discusses one of the kinds of evidence the court used to reach its conclusion. In particular, we see that using randomness and mathematics, we can rigorously detect gerrymandered political districts.