Published multiple papers, for example, two new papers presented at the 2025 'Sound and Music Computing' conference: 'Are inherently interpretable models more robust? A study in music emotion recognition' and 'Zero-shot open set object detection in music album covers'. Supervised students who successfully completed their master and doctoral theses.
Research Experience
Post-Doctoral Researcher, involved in multiple research projects such as SCS. Supervised several students' master and doctoral theses.
Background
Scientific interests include Music Information Retrieval, Machine Learning, Evaluation of Computer Experiments, Computational Humanities (e.g., current project on Pop Music Culture), Arts Based Research (e.g., current project on Spirits in Complexity).