Published several papers in 2025, including 'Zero-Shot Generalization of GNNs over Distinct Attribute Domains' (ICML 2025), 'Hattrick: Solving Multi-Class TE using Neural Models' (SIGCOMM 2025), 'Constraint-based Causal Discovery from a Collection of Conditioning Sets' (UAI 2025), 'Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings' (ICLR 2025), and 'Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders' (AISTATS 2025). Supervised students have received significant awards, such as Beatrice Bevilacqua receiving the 2024 MIT EECS Rising Stars award.
Research Experience
Currently an Associate Professor in the Department of Computer Science at Purdue University. Recent research projects include publications in top-tier conferences such as ICML, SIGCOMM, UAI, ICLR, and AISTATS. Has supervised multiple PhD and MSc students.
Background
Associate Professor of Computer Science at Purdue University. Research interests include foundations of deep learning, graph models, and causal discovery.