Hi there 👋

I am Jiale Lao, a CS Phd Candidate at Cornell University advised by Professor Immanuel Trummer.

I have published multiple papers in SIGMOD and VLDB conferences and received the SIGMOD Research Highlight Award 2024.

I am currently interested in leveraging advanced techniques from the Natural Language Processing field (e.g., Large Language Models) to enhance the efficiency, usability and generality of database systems:

• Efficiency
  • GenDB, an LLM-Powered Generative Query Engine Built for the Future
  • GPTuner for system tuning (SIGMOD Research Highlight 🏆, VLDB 2024, SIGMOD Demo 2024 and Record 2025)
  • SQLBarber for SQL workload generation (SIGMOD 2026, SIGMOD Demo 2025)
  • QUITE for query rewrite (Under revision of SIGMOD 2026)
• Generality
  • SemBench, a benchmark for semantic query processing engines (VLDB 2026)
• Usability
  • ToxicSQL for Text-to-SQL model security (SIGMOD 2026)

You can find more about me in my website and google scholar.

💬 Feel free to reach out: jiale@cs.cornell.edu