Hi, I am Cornelius.

I am a PhD student in Machine Learning at the Univeristy of Oxford interested in AI Safety. I am currently looking for internship and full-time research positions.

My PhD research focuses on:

  • Robustness: Ensuring ML methods predict with certain garuantees and do not fail unpredictedly in safety relevant applications.
  • Uncertainty: Getting meaningful uncertainty measurements from neural networks.
  • Calibration: Matching predictive distributions with probabilities for interpretable and robust machine learning.
  • Probabistic Deep Learning: Bayesian Deep Learning, Generative Models
  • Medical Machine learning: Applications of machine learning in personalised medicine. Interpretability of multimodal models in clinical practice.

My supervisors are:

  • Prof Thomas Lukasiewicz, Intelligent Systems Lab, Department of Computer Science, University of Oxford & Informatics, Technical University of Vienna
  • Adel Bibi, Torr Vision Group, Department of Engineering Science, University of Oxford
  • Prof Michael Wooldridge, Department of Computer Science, University of Oxford
  • Prof Philip Torr, Department of Engineering Science, University of Oxford

News:

  • [February 2025] I am fortunate to have 3 papers accepted into ICLR 2025 including 1 spotlight.
  • [November 2024] I have contributed to an amazing effort lead by Maxime Kayser that won an EMNLP 2024 outstanding paper award.
  • [June 2024] I working with Bernard Ghanem at KAUST.