Summary
Immanuel Trummer is an associate professor of computer science at Cornell University specializing in making data analysis faster and more accessible, with a strong focus on applying generative AI to practical database problems. Over a decade in academia, he has produced award-winning research recognized by Best of VLDB and SIGMOD selections, ACM and SIGMOD highlights, an NSF CAREER Award, and multiple Google Faculty Research Awards. He authored the practitioner's guide "Data Analysis with LLMs" and maintains research code on GitHub that complements his publications. Beyond papers, his instructional reach is notable—his database system tutorials have amassed over a million YouTube views—indicating a rare combination of top-tier research and effective public teaching.
10 years of coding experience
9 years of employment as a software developer