Parker J. Rule
I am a research associate and software engineer at Tufts University's MGGG Redistricting Lab, an interdisciplinary research group that applies mathematical techniques to the study of gerrymandering.
Markov chain-based sampling is an increasingly popular method for detecting gerrymandering of voting districts. GerryChain.jl implements optimized versions of the flip chain and the ReCom chain (DeFord, Duchin, Solomon 2019) for sampling large ensembles of districting plans that satisfy legal criteria. The package also provides a suite of tools for preprocessing geospatial data and computing statistics over ensembles of districting plans.