Faezeh is a Ph.D. candidate in the Software and Sustainability Research Group at Vrije Universiteit Amsterdam, The Netherlands. Her research focuses on cutting-edge topics such as software reference architecture, software and systems architecture for machine learning-based systems, and architecture of machine learning operations (MLOps) workflows.
With a joint M.Sc. in Information Systems from the University of Siena and Computer Science from Leiden University, she completed her studies with a thesis on "Aggregation Functions in Graph Neural Networks."
In her current role, Faezeh is contributing to ExtremeXP, specifically in Task 2.4, where she focuses on developing software and reference architecture for complex, experiment-driven analytics workflows.
This falls under Work Package 2 : βConceptual Foundations for Experiment-Driven Analytics over Extreme Dataβ. Additionally, Faezeh collaborates on the design and refinement of domain-specific languages (within Work Package 2) and the experimentation engine (within Work Package 5), supporting the advancement of the ExtremeXP framework.