talks
Selected talks and presentations.
2025
“Applications of Topological Data Analysis (TDA) for Studying Structural Motifs in Amorphous Bi₂Se₃” APS Global Physics Summit 2025 • [Abstract]
“Using E(3)-Equivariant Neural Networks (ENNs) to Uncover Symmetry-Implied Missing Information” Computational Research in Boston and Beyond (CRIBB) 2025 • [Slides]
2024
“Applications of Euclidean Neural Networks for the Design and Understanding of Physical Systems” 5th International Conference on Data-Driven Plasma Science • Berkeley, CA • Plenary talk presented on behalf of Tess Smidt
“From Data to Discovery: Machine Learning’s Insight into the World of Topological Amorphous Materials” Molecular Foundry Fireside Chat • [Video]
“Learning Crystal Structure from Powder X-Ray Diffraction Data Using Invariants” APS March Meeting 2024 • [Abstract]
2023
“Using Symmetry-Equivariant Neural Networks (ENNs) to Uncover Symmetry-Implied Missing Information” 2023 Materials Research Society Fall Meeting • [Abstract]
“Exploration of Machine Learning (ML) Methods for Determining Unit Cell Parameters from Powder XRD Patterns” 2023 Materials Research Society Fall Meeting • [Abstract]