Arcot Rajasekar

Arcot Rajasekar is a Professor at the University of North Carolina School of Information and Library Science (SILS) and Lead Faculty in the Master of Applied Data Science (MADS) program. He also serves as a Chief Scientist at RENCI. His research focuses on data grids, digital libraries, persistent archives, and artificial intelligence, with over 150 publications in these areas. Rajasekar has led major projects like NeuroBridge, Datanet Federation Consortium, and DataBridge, advancing reproducible research and data federation. His work on the iRODS middleware system is foundational for policy-based data management in distributed environments.

Previously at the San Diego Supercomputer Center (SDSC), he spearheaded the Data Grids Technology group, developing systems like the Storage Resource Broker (SRB) and iRODS. His current projects address challenges in neuroscience data discovery, exposomics, and FAIR data principles. Funded by NSF, NIH, and federal agencies, his work emphasizes scalable data infrastructure and community-driven cyberinfrastructure solutions.

Rajasekar’s educational contributions include pioneering data science curricula and training programs, such as CyberTraining initiatives. He is a key contributor to standards like ISO 16363 and has shaped policies for trustworthy digital repositories. His expertise bridges computer science, library science, and domain-specific data management, making him a leader in interdisciplinary data-driven research.