I am a Computer Science PhD student at the University of Illinois Chicago, advised by Sourav Medya and Xinhua Zhang. My active research areas are graph machine learning and reinforcement learning, focusing on structural optimization and message-passing architectures. Beyond my current core, I am deeply interested in systematic reasoning, combinatorial problem-solving, and the architectural scaling limits of foundational systems.
Selected Research
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Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models
Findings of ACL 2026
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RIDGECUT: Learning Graph Partitioning with Rings and Wedges
ACM SIGKDD 2026