Uxía Veleiro

Currently, I am a postdoctoral researcher at MBZUAI in the Integrative Computational Network Biology Lab, where I focus on multi-omics data integration and network science for precision medicine.

Previously, I completed my Ph.D. within the Machine Learning in Biomedicine research group at CIMA University of Navarra, developing computational methods for drug repurposing.

Feel free to reach out if you’d like to connect or discuss potential collaborations. 📩

My doctoral research

During my Ph.D., I studied drug–target interaction prediction, with a particular focus on Graph Neural Networks (GNNs). My work aimed to bridge computational methods and biological knowledge to develop more effective approaches to drug discovery.

We compared state-of-the-art models for drug–target interaction prediction, examining their strengths and limitations and proposing guidelines for their development. This study was published in Nature Machine Intelligence in February 2025 and was also presented as an oral presentation at the AI4D3 Workshop at NeurIPS 2023. I also developed GeNNius (Bioinformatics, January 2024), a GNN model for predicting drug–protein interactions by framing the problem as a link-prediction task.