Teresa Huang, Ph.D.

Teresa Huang joined the Center for Computational Mathematics (CCM) as a Flatiron Research Fellow in September 2024. Teresa received her Ph.D. in applied mathematics and statistics at Johns Hopkins University, co-advised by Soledad Villar and Carey Priebe. She is broadly interested in geometric deep learning and mechanistic understanding of machine learning models. During her Ph.D., she focused on exploring symmetries in graph learning.