experience

Postdoctoral Researcher

• Working in the Integrative Computational Network Biology Lab at MBZUAI, led by Nataša Pržulj.

PhD Researcher

• Completed a Ph.D. in Computational Biology in the ML4BM Lab at CIMA.
• Developed Graph Neural Network (GNN) approaches for drug–target interaction prediction, with applications to drug repurposing.
• Integrated machine learning methods with biological knowledge to address challenges in computational drug discovery.

Research Stay

• I completed a research stay with the SADA Group at the Department of Mathematics and Computer Science.

Bachelor Thesis Supervision

• Evaluation of deep learning models for drug synergy prediction.

Master Thesis Supervision

• Inference of patient-specific dysregulated transcriptional modules using GNNs.

Sequence Analysis and Structural Bioinformatics (TA)

PhD Day at CIMA University of Navarra

• I was part of the organizing committee for the PhD Day at CIMA.
• Annual event designed to foster community among PhD students.
• Fundraising, event organization, budget management, and chairing the event.

LoG Meet Up @ Madrid - Learning on Graphs Conference

• Local branch of the conference Learning on Graphs (LoG).
• Organization, incl. creation of the event’s website.
• In collaboration with Antonio G. Marqués and his group at King Juan Carlos University (URJC).
• We hosted speakers from 13 academic institutions, as well as 2 from companies and 3 plenary speakers from the Universities of Oxford (UK), TUM (Germany), and Basel (Switzerland).

How LinkedIn’s algorithm can help us find new uses for existing medicines?

AI & Antibiotics - Interview

Researching drugs through artificial intelligence - Interview