- COMRECGC: Global Graph Counterfactual Explainer through Common Recourse, International Conference on Machine Learning (ICML), 2025
- BANGS: Game-theoretic Node Selection for Graph Self-Training, International Conference on Learning Representations (ICLR), 2025
- GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules, Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
- Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach, The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025
- Fact-based Counter Narrative Generation to Combat Hate Speech, The Web Conference (WWW), 2025
- IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents, Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
Research Experience
- Assistant Professor, Department of Computer Science, University of Illinois at Chicago (UIC)
- Research Assistant Professor, Kellogg School of Management and Northwestern Institute on Complex Systems (NICO) at Northwestern University
Education
- Ph.D. in Computer Science from the University of California, Santa Barbara
- Master of Engineering in Computer Science and Automation Department from Indian Institute of Science (IISc), Bangalore, India
Background
Research focuses on the intersection of graphs, machine learning, and data science with a focus on bias, fairness, and interpretability. Also builds machine learning techniques that have high impact in areas such as healthcare, infrastructure, and computational social science.