Our Team

As an organization, MGGG operates on multiple scales. We have a core group in the Boston area, a larger group of active contributors working with us on various projects, and several hundred people who attended our cycle of training sessions around the country in 2017-18, including dozens who are preparing to serve as expert witnesses and consultants.

At the largest level of zoom, 1,932 people from a range of specialized backgrounds had filled out our Skills and Interests Inventory as of Oct 1, 2018 to be part of our global network of collaborators on call. This represents a very wide range of talent, from statistics to critical race theory to mobile app development. If your organization needs technical expertise in the voting rights sphere, please reach out to us for contacts and support at gerrymandr@gmail.

Local Team

A photo of Hakeem Angulu

Hakeem Angulu is a senior at Harvard College concentrating in Computer Science and Statistics, with a Secondary in African American Studies. He is dedicated to building projects that amplify voices, facilitate justice, and push limits. He works with MGGG through the Radcliffe Research Program, focusing on algorithms and computer experiments.

A photo of Amy Becker

Amy Becker is a data scientist with MGGG whose interests include algorithm design, combinatorial optimization, and computing for social change. Before joining the group, Amy earned a PhD in Computer Science from Brown University, specializing in graph algorithms.

A photo of Ruth Buck

Ruth Buck is a recent graduate of Macalester College, where she studied geography and data science. Her work for MGGG focuses on GIS (geographic information systems), cartography, and political and demographic data.

A photo of Daryl DeFord

Daryl DeFord is a postdoc in the group, with research interests in complex networks and the mathematics of social data. He completed his Ph.D. in Mathematics in 2018 at Dartmouth College under the supervision of Dan Rockmore.

A photo of Nick Doiron

Nick Doiron is a software engineer on MGGG’s Districtr project. His past work in the open data space includes i18n/l10n for OpenStreetMap, and interactive maps for Code for America, the Asia Foundation in Myanmar, and McKinsey & Company.

A photo of Moon Duchin

Moon Duchin founded MGGG in 2016 to focus mathematical attention on redistricting. Her areas of mathematical expertise are in geometry, topology, and dynamical systems. Her affiliations at Tufts University include Mathematics, STS, and the Tisch College of Civic Life.

A photo of Dara Gold

Dara Gold is a Data Scientist with MGGG. She completed her PhD in math at Boston University in 2015. Prior to working at MGGG she worked at the RAND Corporation as an Associate Mathematician.

A photo of Aidan Kestigian

Aidan Kestigian is the program manager for MGGG, managing the group’s research, civic, and fundraising initiatives. Prior to working for MGGG, Aidan earned a PhD in Logic, Computation, and Methodology at Carnegie Mellon University. She maintains active research interests in voting theory and social & political philosophy.

A photo of JN Matthews

JN Matthews is a recent graduate of Tufts University, where they studied computer science and math. At MGGG, they work as a software developer on a variety of projects. They are interested in the intersection of mathematics and civic education, particularly in the area of redistricting.

A photo of Justin Solomon

Justin Solomon leads the Geometric Data Processing Group in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), which studies problems at the intersection of geometry, large-scale optimization, machine learning, and applications. He joined MGGG’s leadership in 2017 and is directing theoretical research and implementation for algorithmic approaches to generating and analyzing districting plans.

A photo of Thomas Weighill

Thomas Weighill is a postdoc in the group. His research interests include geometry, group theory and applications of topology and geometry to data science. Before joining MGGG, Thomas completed his PhD in mathematics at the University of Tennessee under the supervision of Jerzy Dydak.

Key Collaborators, Past and Present

A photo of Mira Bernstein

Mira Bernstein is an educator and data scientist who helped launch MGGG and was an active member in 2016-17. She was the lead on the Educator Training sessions as part of our national workshop cycle, and she designed a related gerrymandering course for Math for America. She was one of the authors of MGGG’s white paper on voting systems in Santa Clara.

A photo of Nestor Guillen

Nestor Guillen is an Assistant Professor of Mathematics at the University of Massachusetts Amherst. His research is concerned with the analysis of partial differential equations, typically in relation to questions in geometry, probability, and mathematical physics. He is especially interested in how methods from optimal transport can be used to analyze geographical data.

A photo of Max Hully

Max Hully is the software developer for MGGG, building open-source tools and web resources to make understanding redistricting accessible to everyone. He is on leave from doctoral work in discrete geometry and algebraic combinatorics at UMass Amherst.

A photo of Ari Nieh

Ari Nieh was a founding member of MGGG, specializing in mathematics pedagogy and communication. He developed and presented materials on gerrymandering and geometry at our Educator Training sessions around the country in 2017-18. He is a co-editor on the MGGG book project tentatively called Political Geometry.

A photo of Anthony Pizzimenti

Anthony Pizzimenti is a junior math and computer science student at the University of Iowa. Anthony has worked on an array of software projects for the MGGG as well as contributing mathematics research from his group at the UI. He also runs MGGG’s Twitter account.

A photo of Michael Sarahan

Michael Sarahan is a software developer in Austin, TX. He helps MGGG coordinate our open-source software efforts.

A photo of Zachary Schutzman

Zachary Schutzman is a PhD student in Computer and Information Science at the University of Pennsylvania, working with Aaron Roth. Zach’s work with MGGG includes algorithm design for various software projects and interactive introductions to the math of redistricting. More broadly, Zach works on topics at the interface of computing and social norms, such as fairness and privacy.

A photo of Olivia Walch

Olivia Walch is a postdoc at the University of Michigan. Her research interests include mobile app development and the mathematics of sleep, image processing, and redistricting. Apps developed by her have been downloaded close to half a million times. She’s also a cartoonist and her art will appear in MGGG’s edited volume, Political Geometry.

A photo of Oliver York

Oliver York is a senior at Harvard College studying quantitative economics and the history of technology. His work for MGGG involves research into the evolving legislative and legal attempts to rein in gerrymandering. He is an active advocate for youth civic education and voter turnout.