About
Currently pursuing a PhD focused on fairness, bias detection, and transparency in music recommender systems at Utrecht University, as a part of the Information and Computing Science department, Interaction division, Human Centered Computing group.
In my work, I combine 6 years of industry experience as a ML software engineer and data analyst with an academic background in Communication and Information Sciences, resulting in interdisciplinary, human-focused scientific research projects.
I am also organizing and teaching courses, as well as supervising student theses.
I am open for research and/or engineering internship opportunities for summer 2024, focusing on one or several of the following topics:
- Fairness and bias mitigation in machine learning applications
- Music recommendation
- Personalization in recommender systems
- Explainability (XAI)