Speaker

Albert Dorador

Albert Dorador

Adjunct Professor of Statistics at BarcelonaTech

Barcelona, Spain

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Albert Dorador is an Adjunct Professor of Statistics (BarcelonaTech) and Mathematics (Pompeu Fabra). He holds a PhD in Statistics from the University of Wisconsin–Madison and previously served at the European Central Bank, specializing in financial risk management and algorithmic auditing. Albert is the creator of the TRUST and Renet algorithms among others, focusing on the intersection of high-performance optimization and auditable, "human-scale" machine learning. His work centers on solving the "Interpretability Gap" in high-stakes regulatory environments, moving the industry toward deterministic and forensic-grade AI transparency.

Area of Expertise

  • Finance & Banking
  • Government, Social Sector & Education
  • Information & Communications Technology
  • Physical & Life Sciences

Topics

  • Machine Learning and AI
  • explainable AI (XAI)
  • Machine Learning Explainability
  • Model explainability
  • Trustworthy AI

Albert Dorador

Adjunct Professor of Statistics at BarcelonaTech

Barcelona, Spain

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