Lena Zellinger
Lena Zellinger

PhD student

University of Edinburgh

Hi! I am a first-year ELLIS PhD student at the University of Edinburgh, supervised by Dr. Antonio Vergari, Dr. Nikolay Malkin and Dr. Vincent Fortuin. I am part of the APRIL lab at the University of Edinburgh and the ELPIS lab at Helmholtz AI and TU Munich.

My main research interests include neuro-symbolic modeling and uncertainty quantification. In particular, I am eager to understand when and how we can satisfy constraints in our deep learning systems while providing well-calibrated predictions. At the same time, I aim to develop methods that are computationally efficient and can be scaled to complex problems. For instance, I have lately been working on scalable expectation estimation with subtractive mixutre models.

If you are excited about similar topics, reach out - I am always happy to discuss!

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Interests
  • Tractable probabilistic modeling
  • Computational statistics
  • Uncertainty quantification
  • Neuro-symbolic AI
Education
  • PhD at the Institute for Adaptive and Neural Computation, current

    University of Edinburgh

  • MSc in Data Science, 2022

    University of Vienna

  • BSc in Statistics, 2020

    University of Vienna