Remarks on the distribution of colors in Gallai colorings (arxiv), with Joey Feffer and Jun Yan, Discrete Mathematics, 343.10 (2020), 111996.
Toric geometry of ReLU neural networks, submitted, arxiv (link to updated version).
Persistent Homology for Labeled Datasets: Gromov-Hausdorff Stability and Generalized Landscapes, submitted, arxiv, with Evgeniya Lagoda, Shiying Li, Tom Needham, Lander Ver Hoef and Morgan Weiler.
Mathematics and Machine Learning 2023, Caltech, Dec 10-13, 2023
MRC Conference Week 2: Mathematics of Adversarial, Interpretable and Explainable AI, June 23-29, 2024.
Princeton Machine Learning Theory Summer School, Princeton University, August 5-15, 2024.
Boston Symmetry Day, Northeastern University, March 31, 2025, poster.
New Perspectives on Discriminants and Applications, MPI, Leipzig, Germany, June 23-July 4, 2025
New Directions in Algebraic Statistics, IMSI, Chicago, July 21-25, 2025 (lightning talk).
Workshop on Polyhedral Geometry for Neural Networks, Nuremberg, Germany, March 16-20, 2026 (Contributed Talk)
Women in Mathematics of Data Science Workshop, The University of British Columbia, Vancouver, Canada, August 4-14, 2026
Accelerating Mathematical Discovery: A Crash Course in AI and Computation, Santa Curz, California, October 28 - Nov 1, 2026
Metric Algebraic Geometry: Going Global, ICERM, Providence, January 20-March 27, 2027