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.
MSc in Data Science, 2022
University of Vienna
BSc in Statistics, 2020
University of Vienna