Jamie Callan

Jamie Callan is a Professor at Carnegie Mellon University's Language Technologies Institute (School of Computer Science), where he leads research in Information Retrieval and Neural Search Architectures. He teaches advanced courses on search engine design and mentors students in multiple programs.

• Research Focus: Federated retrieval, knowledge graph integration in search, ClueWeb dataset development, and neural approaches to document ranking
• Leadership: Past SIGIR Treasurer/Chair, Co-founding Editor of Foundations and Trends in IR, former TOIS Editor-in-Chief

His recent work explores:

• Neural Retrieval: Latent vocabulary for sparse systems, hypothetical documents for dense vector retrieval
• Dataset Innovation: Maintenance and distribution of ClueWeb09, ClueWeb12, and ClueWeb22 datasets
• Search Efficiency: Selective search architectures with 90% reduced computational costs

Scientific Recognition:

• International ACM SIGIR Conference Leadership
• Co-founding Editor-in-Chief, Foundations and Trends in IR
• Former Editor-in-Chief of ACM TOIS

Dr. Callan's Lemur Project has produced Indri/Galago search engines and supported TREC evaluations through dataset contributions.