education
Academic background
Education
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2021–2026 Ph.D. in Machine Learning in Biomedicine
University of Navarra I completed my Ph.D. in the Doctoral Program in Applied Medicine and Biomedicine. During the program, I took interdisciplinary courses and attended talks on scientific writing, science communication, research-driven innovation, and ethics. These experiences strengthened my ability to communicate research findings and contribute to progress in the field. -
2020–2021 M.Sc. in Quantitative Biotechnology
University of Zaragoza / BIFI - Master’s thesis: BFT-3 virtual screening, combining experimental and computational tools.
- Technical skills
- Molecular docking techniques (AutoDock Vina, AutoDockTools).
- Molecular dynamics for protein–ligand complexes (GROMACS).
- Molecular fingerprints (RDKit, Python package).
- High-performance computing on the Cierzo cluster (CESAR, Supercomputing Center of Aragón).
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2016–2020 B.Sc. in Physics
University of Santiago de Compostela - Bachelor’s degree final project (TFG): Characterisation of the ibuprofen–β-cyclodextrin inclusion complex, using molecular dynamics simulations with GROMACS on CESGA (Supercomputing Center of Galicia).
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2018–2019 Erasmus exchange
Heidelberg University - During my Erasmus exchange (WiSe 18/19 and SoSe 19), I took Bachelor’s and Master’s lectures and seminars, including Advanced Lab Training in NMR and neuromorphic computing.
Additional training
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2025 Split, Croatia
Mediterranean ML Summer School (M2L)
AI Education Foundation + sponsors - I am attending M2L next September! (M2L website)
- Received a travel scholarship. (Thanks to the organizers!!!)
- Acceptance rate of less than 18%, with nearly 1,700 applications.
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2024 Oxford, UK
OxML Summer School
AI for Global Goals (https://www.oxfordml.school/) - I attended the MLx Representation Learning & Generative AI track.
- Connected with amazing people in the AI community! ✨