Mateja Jamnik

Researcher in Artificial Intelligence

Group

PhD Students

  • Dmitry Kazhdan: Enhancing Interpretability: The Role of Concept-based Explanations Across Data Types. (First supervisor with Pietro Lio)
  • Dimitrios Deslis: Developing an Interactive Computer Support System to Facilitate Teacher Learning of Proof-related Instruction in Mathematics. (First supervisor with Andreas Stylianides in Education Faculty)
  • Mei Yang: Designing a Computer-assisted System For Prospective Mathematical Teachers’ Training of Proof-Related Instruction . (First supervisor with Andreas Stylianides in Education Faculty)
  • Andrei Margeloiu: Breaking the curse of dimensionality in low-data tasks.
  • Urska Matjasec: Interpretable methodology with high performance for tabular data.
  • Mateo Espinosa Zarlenga: Concept based learning for explainable AI.
  • Albert Qiaochu Jiang: Learning Abstract Mathematical Reasoning.
  • Konstantin Hemker: Multi-Modal and Explainable Machine Learning on Biomedical Data.
  • Julia Komorowska: Dynamics-informed protein generative modelling. (First supevisor with Pietro Lio)
  • Xiangjian Jiang: Interpretable machine learning models for low-sample-size regimes in healthcare.


Post Doctoral Researchers


Past PhD Students


Past Post Doctoral Researchers