Go to JKU Homepage
Institute for Machine Learning
What's that?

Institutes, schools, other departments, and programs create their own web content and menus.

To help you better navigate the site, see here where you are at the moment.

Dr. Andreu Vall


I am a postdoctoral researcher working on machine learning approaches to drug discovery within the D3net project, opens an external URL in a new window. I previously conducted research in the field of music recommender systems, with a particular interest in recommending coherent and personalized music playlists (PhD thesis, opens an external URL in a new window).

Research Topics

  • Machine learning for drug discovery
  • Uncertainty estimation
  • Graph neural networks
  • Recommender systems

Selected publications

  • Hofmarcher et al. 2020. “Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks.” ArXiv:2004.00979. http://arxiv.org/abs/2004.00979.
  • Vall et al. 2019. “Feature-Combination Hybrid Recommender Systems for Automated Music Playlist Continuation.” User Modeling and User-Adapted Interaction 29 (2): 527–72. https://doi.org/10.1007/s11257-018-9215-8.
  • Vall et al. 2019. “Order, Context and Popularity Bias in next-Song Recommendations.” International Journal of Multimedia Information Retrieval 8 (2): 101–13. https://doi.org/10.1007/s13735-019-00169-8.