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PhD defenceConformal prediction

PhD degree for Nicolas Dewolf

Nicolas Dewolf defended his thesis on conformal prediction methods for valid uncertainty quantification.

Nicolas Dewolf with his PhD jury

On April 25, 2024, Nicolas Dewolf successfully defended his Ph.D. thesis “A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning” and was awarded the title of Doctor of Bioscience Engineering: Mathematical Modelling. Nicolas was supervised by Bernard De Baets and Willem Waegeman. His research was sponsored by the Flanders AI Research Program. The slides of the presentation are available online.