The Department of Computer Science and Statistics is hosting a presentation titled Providing Reproducible and Equitable AI Access in Academia on Friday, November 7, at 3:00 p.m. in Tyler 055. William J. Tomlinson, Ph.D., will present Boston University’s Retrieval-Augmented Generation (RAG) Framework, an open-source, low-code platform developed by the Software & Application Innovation Lab (SAIL) to make large language model (LLM)–powered applications accessible, reproducible, and secure across academic environments. RAG can integrate with research computing infrastructure researchers, faculty, and students to create and deploy their own RAG-based AI tools while maintaining full control over data privacy and compliance.

Tomlinson is the Director of the Software & Application Innovation Lab (SAIL) at Boston University’s Rafik B. Hariri Institute for Computing and Computational Science & Engineering. Tomlinson leads a multidisciplinary engineering team advancing research-driven innovation through production-grade software solutions, open-source frameworks, and scalable AI infrastructure.