- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
- Robust Angular Synchronization via Directed Graph Neural Networks
- SSSNET: Semi-Supervised Signed Network Clustering
- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
- DIGRAC: Digraph Clustering Based on Flow Imbalance
- PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
- Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions
- Generalization Error of Graph Neural Networks in the Mean-field Regime
- MagNet: A Neural Network for Directed Graphs
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
- GNNs for Node Clustering in Signed and Directed Networks
- DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
- Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning
- Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations
Research Experience
During her time at Oxford, she was a doctoral student and involved in multiple research projects.
Education
Completed DPhil (PhD) in Statistics at the University of Oxford in 2024, supervised by Prof. Gesine Reinert and Prof. Mihai Cucuringu.
Background
Research interests include graph neural networks, machine learning, and mathematical modeling. Currently an Assistant Professor at Arizona State University.
Miscellany
In her free time, she enjoys table tennis (2022-2024 squad member and 2023-2024 President of Oxford University Table Tennis Club, winning the Oxford Blues Award in the 2023/24 academic year), badminton (2022-2024 squad member of Oxford University Badminton Club), piano, photography, and traveling.