TAGMaC Fall 2026

The NC State chapter of the AMS will be hosting TAGMaC at Riddick Hall (2401 Stinson Dr. Raleigh, NC) on November 14th from 10:00-4:00 pm.

Plenary Talk

We are please to welcome Dr. Caroline Moosmueller as our plenary speaker this year.

Dr. Caroline Moosmueller is a J. Burton Linker Fellow Assistant Professor of Mathematics at University of North Carolina at Chapel Hill. The focus of her research lies in the development of numerical methods for nonlinear and high-dimensional data analysis. She is particularly interested in algorithms that preserve geometric structure, and I work on optimal transport problems, classification tasks in machine learning, linear and nonlinear approximation, and applications in biology and cancer research.

Title: Subdivision, Optimal Transport, and the Geometry of Snapshots

Abstract:

Subdivision schemes generate smooth curves from discrete data by repeated local averaging. As a graduate student, I studied their extension to Riemannian manifolds, where linear averages are replaced by geodesic averages. My research has since moved toward optimal transport and data science, motivated by applications in biology, where data often consist of population snapshots rather than tracked individuals. In such settings, data points are naturally modeled as probability distributions or as networks.
This talk discusses how classical tools, including classification, dimensionality reduction, interpolation, and generative modeling, extend to data in Wasserstein and Gromov–Wasserstein spaces. A particular focus is subdivision. Convergence results for manifolds carry over to the infinite-dimensional Wasserstein space. The same proof applies in Gromov–Wasserstein space, but since optimal couplings are not unique, neither is the limit curve. Applications include single-cell data, proteins, graphs, and fruit fly development.
This is joint work with my current and former graduate students Amartya Banerjee, Kaitlyn Hohmeier, Varun Khurana, Hung Yee Sum, and Chuxiangbo Wang, and with several collaborators.

Math and AI Panel

Dr. Bojko Bakalov

Dr. Bojko Bakalov is a Professor of Mathematics at North Carolina State University. He is also the Associate Director of NC State Quantum Initiative. His research interests lie in quantum computing, quantum machine learning, mathematical physics, signal processing, representation theory, integrable systems.

Dr. Hangjie Ji

Dr. Hangjie Ji is an Associate Professor of Mathematics at North Carolina State University. She is also the Director of Industry and Community-based Research and Education at NC State’s Data Science and AI Academy. Her research interests lie in nonlinear partial differential equations, scientific computing, and data-driven mathematical modeling, with a focus on their applications in physics, engineering, and medicine.

Dr. Adam Pickarski

Dr. Adam Pickarski is an AI/ML Research Scientist at Capital One. He specializes in nonlinear dimension reduction algorithms (NLDR).

Dr. Nathan Reading

Dr. Nathan Reading is a Professor of Mathematics at North Carolina State University. His research interests lie in algebraic and geometric combinatorics, particularly the combinatorics of Coxeter groups and cluster algebras.

Dr. Seth Sullivant

Dr. Seth Sullivant is a Distinguished Professor of Mathematics at North Carolina State University. His research interests lie in algebraic statistics, computational and combinatorial algebra, and mathematical phylogenetics.

 

 

Time Event
10:00-10:20 Welcome and Registration 
10:25-11:25 Plenary Talk: Dr. Caroline Moosmueller (UNC Chapel Hill)

Subdivision, Optimal Transport, and the Geometry of Snapshots
11:30-12:15 Math and AI Panel
Algebra and Combinatorics  Topology Analysis, DEs, Controls, and Modelling
12:30 – 12:55
1:00 – 1:25
12:45-1:10
1:10-1:15 Group Photo – SAS Second Floor
1:30-2:30 Lunch
2:30-2:55
3:00-3:25
3:30-3:55
4:00-4:25

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Parking and Transportation

Parking is free on NC State’s campus on the weekend. There is a parking lot behind SAS hall which connects to the first floor lobby. More travel information can be found at this link.