Immanuel Trummer is an assistant professor at Cornell University and heads the Cornell Database Group. His papers were selected for “Best of VLDB”, “Best of SIGMOD”, for the ACM SIGMOD Research Highlight Award, and for publication in CACM as CACM Research Highlight. His online lecture introducing students to database topics collected over a million views. He received the NSF CAREER Award and multiple Google Faculty Research Awards.

Projects: DB-BERT SkinnerDB UDO
Twitter: @ImmanuelTrummer
Web: www.itrummer.org

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MPI Audience

English

60 Minutes

Saarbrücken

The past years have been marked by several breakthrough results in the domain of generative AI, culminating in the rise of tools like ChatGPT, able to solve a variety of language-related tasks without specialized training. In this talk, I outline novel opportunities in the context of data management, enabled by these advances. I discuss several recent research projects at Cornell, aimed at exploiting advanced language processing for tasks such as parsing a database manual to support automated tuning, or mining data for patterns, described in natural language. Finally, I discuss our recent and ongoing research, aimed at synthesizing code for SQL processing in general-purpose programming languages, while enabling customization via natural language commands.

Gerhard Weikum

+49 681 9325 5000

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