Scholar
Fabrizio Russo
Google Scholar ID: UccU-eYAAAAJ
Imperial College London
Citations & Impact
Citations
63
H-index
5
i10-index
2
Publications
11
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Helps organize the Explainable AI Seminars @ Imperial, a forum to learn and stay updated with all things XAI.
Research Experience
- Worked as a consultant delivering modeling solutions for Credit Risk problems for 6 years, leaving his job as Head of Data Science at 4most Europe in September 2020 to pursue a PhD; currently a Research Associate in the Computational Logic and Argumentation group at the Department of Computing, Imperial College London.
Education
- PhD in Computer Science from Imperial College London, graduated in March 2025, funded by UKRI within the Safe and Trusted AI Centre for Doctoral Training (STAI). Advisor not explicitly mentioned.
Background
- Research interests: Causality, Computational Argumentation, and Explainable AI, with a focus on knowledge discovery and human-AI integration for high-stakes decision-making. Background: Has been building AI models for the past ten years, including automating decisions, complying with regulations, forecasting outcomes, etc.
Miscellany
- No specific information provided about personal interests or hobbies.
Co-authors