Our Team

As an organization, MGGG operates on multiple scales. We have a core group in the Boston area amd a larger group of active contributors working with us on various projects.

Core Team

: Hazel Brenner (she/they) is a PhD Candidate at Cornell University where she studies geometric and low-dimensional topology. At MGGG they are primarily interested in applying tools from topological data analysis to understand how demographic and economic variables affect voting patterns.
: Emarie Rose De La Nuez (They/Them/Theirs) is a graduate student in applied mathematics at Tufts University. Prior to Tufts, they received a Bachelor of Arts in Africana Studies at Oberlin College. They are interested in statistical analysis, computational social justice, and origami.
: 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.
: Rory Ehrlich is a rising senior at Tufts majoring in math (and dabbling in anthropology and philosophy). Last summer, he taught discrete math in an inquiry-based format at MathILy-Er, a math program for high school students. In addition to democracy reform, he is interested in the politics of climate change, wealth redistribution, and freedom from work.
: Jack Gibson is a master’s student at the University of Chicago studying computational analysis and public policy. Before returning to school, he was a public policy analyst at National Journal where he conducted research and advised clients in the government contracting space. He is interested in civic tech, healthcare policy, and digital government services.
: Andrew Hong is an undergraduate at Stanford studying data science. Previously, he was a data analyst for More Equitable Democracy, an MGGG community partner, and led a fair redistricting advocacy coalition during Washington’s 2020 redistricting cycle. He is passionate about using data to understand electoral systems and fight for representation for communities of color.
: Greg Kehne is a PhD candidate in computer science at Harvard. His research is on topics in online optimization and computational social choice. He is particularly interested in developing algorithmic tools to improve group decision-making at scale.
: Liz Kopecky is a project manager for MGGG, assisting with the group’s research, civic, and fundraising initiatives. Prior to joining MGGG, she worked as an environmental planner in the energy industry.
: Brenda Macias is studying Applied Math at Tufts. Prior to working at MGGG, she worked with the NSF analyzing data for a project examining the historical participation of Minority Serving Institutions in Earth Science-funded research. After Tufts, she intends to work in educational research.
: Malavika (Mala) Mukundan is a PhD candidate in mathematics at the University of Michigan. Her research interests are in holomorphic dynamics, geometry and topology. She is passionate about workers’ rights, gender equity, and using mathematics as a tool to examine socio-political systems.
: Jordan Phan is studying Statistics with a concentration in Data Science at the University of Virginia, and will complete a Master’s in Public Policy at the Frank Batten School of Leadership and Public Policy at UVA. They are interested in income equity, healthcare reform, and gun violence prevention.
: Parker Rule graduated from Tufts University with degrees in mathematics, computer science, and STS (Science, Technology, and Society). He has worked in the lab as a software engineer and research associate. He is interested in operations research, high-performance computing, and computational geometry.
: Jamie Tucker-Foltz is a computer science PhD student at Harvard. His research focus is applying techniques from theoretical computer science to improve institutions of democracy. He is especially interested in fair redistricting, fair resource allocation, and computational social choice.
: Jennifer Wang is an undergrad at Brown University studying CS and International & Public Affairs. She’s interested in algorithmic fairness, human-centered computing, and tech policy. Currently, she is a data fellow at the Census Bureau working on database management and linkage infrastructure in the population division.