Authored 50+ peer-reviewed papers and holds 10+ USPTO patents. Selected Publication: PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows, IEEE International Conference on e-Science, 2025.
Research Experience
Since 2022, Research Staff and Software Engineer at Oak Ridge National Laboratory. Previously, spent seven years at IBM.
Education
Ph.D. (2009-2019): Federal University of Rio de Janeiro (UFRJ), Computer Science. B.Sc. (during): Studied abroad at Missouri State University, interned at SLAC National Laboratory (Stanford University). Visiting scientist at INRIA, France, during his Ph.D.
Background
Research Interests: Large-scale Data Science and Data Engineering, Edge–Cloud–HPC Workflows, AI Workflows, Provenance Data, Machine Learning Systems, Agentic AI. Professional Field: Workflows, AI, and Data Engineering. Bio: Active in engineering, research, and technical leadership since 2010, influencing fields of AI, distributed systems, and data management.