Speaker: Dr. Rafael Ferreira da Silva
Time: 10:55 AM - 11:20 AM
Session Type: Invited Talk
The convergence of AI and large-scale scientific workflows presents a transformative opportunity to accelerate discovery across domains. However, this integration is challenged by fragmented data lifecycles, heterogeneous infrastructure, and the need for scalable orchestration frameworks that are both AI- and HPC-aware. In this talk, I will present an end-to-end vision and practical strategies for enabling AI-ready scientific workflows at scale. This includes integrating domain-specific foundation models, automating data staging across distributed resources, and leveraging adaptive workflow systems to optimize performance, cost, and energy usage. Drawing from real-world use cases within DOE science domains, I will outline a community roadmap for building interoperable, scalable, and FAIR-aligned ecosystems that support both traditional simulations and next-generation AI models in federated environments.
Dr. Rafael Ferreira da Silva leads the Workflow and Ecosystem Services group at Oak Ridge National Laboratory. He serves as a Senior Research Scientist in the National Center for Computational Sciences. His expertise lies at the intersection of advanced distributed systems and scientific innovation, specializing in parallel and distributed computing with expertise spanning scientific workflows, hybrid quantum classical systems, and autonomous science. Dr. Ferreira da Silva is the Special Content Editor for Future Generation Computer Systems journal and holds senior memberships in IEEE and ACM. As Founder and Executive Director of the Workflows Community Initiative, he brings researchers together to advance workflow management and applications.