Graduate Research Assistant
Current
Network Analytics And Social Computing Lab (Nascl)
My research focuses on developing deep graph neural network (GNN) architectures and self-supervised training procedures for analysis of heterogeneous, multi-layer, and temporal graphs. My theoretical work is based in spectral graph theory and geometric deep learning. I utilize network science and natural language processing (NLP) methods in two main application areas: computational social science to study polarization and hate speech online, and cybersecurity to analyze system provenance and to develop graph classification and anomaly detection methods based on GNNs and data provenance graphs.
Jan 2020 - Present
