Dr. Andreu Vall


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

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.