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Fabrizio Russo has ten years of experience building AI models that automate decisions, comply with regulations, and forecast outcomes. His research interests lie in Causal Discovery and Computational Argumentation, with a focus on knowledge discovery and human-AI integration in high-stakes decision making. Fabrizio spent six years in the credit risk industry, culminating in his role as Head of Data Science at 4most Europe, before leaving to pursue a PhD in Computer Science. At 4most, he worked with many clients over the years, delivering effective modeling solutions to credit risk problems. Currently, he is part of the Computational Logic Argumentation group in the Department of Computing at Imperial College London. He also plays an active role in organizing Explainable AI Seminars at Imperial, which serve as a great forum for learning and staying updated on developments in XAI.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.