Published several papers, including 'Passage Query Methods for Retrieval and Reranking in Conversational Agents' (TREC 2024) and 'Does Query Tone and Structure Impact Neural Reranking Performance?' (Second Workshop on Task Focused IR in the Era of Generative AI 2024). Also participated in various conferences and workshops, presenting research findings.
Research Experience
Involved in multiple research projects, including the development of passage query methods for retrieval and reranking in conversational agents and the impact of query tone and structure on neural reranking performance.
Education
Started Ph.D. in Computer Science at Georgetown University's InfoSense lab in August 2024, advised by Grace Hui Yang.
Background
Currently pursuing a Ph.D. in Computer Science at Georgetown University. Works in the InfoSense Lab, advised by Grace Hui Yang. Research focuses on the development and optimization of computational methods in reinforcement learning, information retrieval, and conversational agents.