Lena Zellinger

Lena Zellinger

PhD student at the University of Edinburgh (joint w/ Antonio Vergari)

University of Edinburgh

ELLIS

I am an ELLIS PhD student at the University of Edinburgh, supervised by Antonio Vergari, Nikolay Malkin, and Vincent Fortuin. Through my research, I aim to develop reliable and efficient machine learning systems which comply with task-relevant constraints, such as safety rules or domain knowledge. I am broadly interested in anything related to neuro-symbolic learning and tractable uncertainty quantification.

Previously, I worked on knowledge graph reasoning and learning with noisy labels at the University of Vienna, where I also completed my Bachelor’s degree in Statistics and Master’s degree in Data Science.

Interests
  • Tractable probabilistic modeling
  • Computational statistics
  • Neuro-symbolic AI
Education
  • MSc in Data Science, 2022

    University of Vienna

  • BSc in Statistics, 2020

    University of Vienna

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