I am a Ph.D. student in Computer and Information Sciences at Temple University. My research focuses on database systems, machine learning for data systems, query processing and optimization, natural-language interfaces to databases, and graph data systems.

My current work develops graph-native methods for evaluating, diagnosing, and repairing natural-language-to-Cypher systems. I am also interested in learned indexes for graph databases, continual agent learning for data synthesis, knowledge graph integration, and semantic indexing for scientific literature.

Research

• CypherLens: An evaluation, diagnosis, and repair framework for natural-language-to-Cypher systems, including a tool-augmented agentic repair loop.
• Learned indexes for graph databases: An investigation of how learned indexing techniques can be adapted to graph databases and Neo4j query processing.

Before beginning my Ph.D., I worked as a software engineer on production database and distributed systems in the automotive, data-integration, and telecommunications.

Outside of research, I enjoy painting in my free time; you can find some of my work in my Portfolio. I also have a cat who always tells me which task to work on next! :)

News

• 2026: CypherLens: An Interactive Demo for Evaluating and Diagnosing NL-to-Cypher Systems was accepted to the VLDB 2026 Demonstration Track.

You can learn more about my work on the Publications page or view my CV.