Published multiple journal and conference papers, such as 'Causal Explanations for Sequential Decision Making Under Uncertainty' (JAIR, 2025), 'Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models' (AAAI 2026); Obtained several patents, such as 'Dynamic Refinement of Custom Classes Using Zero-Shot Images' (Under review), 'Vehicle Decision Making Using Sequential Information Probing' (US Patent App. 18/429,196).
Research Experience
Conducted research work at UMass Amherst, involving multiple research projects such as CoLLAB and Terrarium.
PhD candidate in Computer Science at UMass Amherst, advised by Shlomo Zilberstein. Research interests include the alignment of agentic systems and using large language models to infer intent from unstructured instructions.