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Immanuel Trummer is an Associate Professor at Cornell University, specializing in database systems and artificial intelligence. His research focuses on optimizing database performance through innovations in query processing, machine learning, and automated decision-making tools. Trummer has developed a suite of database tuning applications, which include DB-BERT, a tool designed to improve the efficiency of database systems by understanding and processing user manuals. He has contributed significantly to the field through publications in prestigious conferences such as SIGMOD and VLDB, exploring topics like adaptive query processing and fact-checking in data science. In addition to his research, Trummer teaches multiple database courses at Cornell, equipping the next generation of computer scientists with essential skills in data management and system optimization.
Cornell University • Ithaca, NY
Teaching and conducting research in database systems and machine learning.
Department of Architecture