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 (VLDB Demo 2026)
- 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



