About me
I am a second-year PhD candidate at the Relational ML Lab, supervised by Dr. Rebekka Burkholz, at the CISPA Helmholtz Center for Information Security in Saarland, Germany.
My research addresses generalization challenges in graph learning, particularly by studying the dual role of input graphs as both data and computation structures, and the effects of modifying them under different criteria. The work has been published at NeurIPS and ICLR, and presented at multiple talks.
Background
I hold two degrees in Mathematics and Computer Science from Universidad Complutense de Madrid, and I received the prestigious postgraduate fellowship from la Caixa Foundation in 2022. This allowed me to study a master’s at Strathclyde in the UK, where I was awarded the Best Overall Performance Prize. I have been featured in the Nova 111 Student List 2023 (top 10 under 25 in Computer Science in Spain) and selected for the 9th Heidelberg Laureate Forum 2022, where I was also interviewed. Beyond research, I annually contribute to the European Girls’ Mathematical Olympiad (EGMO) as a permanent member of the IT team. I also developed the LaTeX package ddphonism, which is included in MikTeX and the TeXLive Music bundle.
You can read my full CV, or explore a timeline of my past activities.
News
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June 2025｜Lightning talk at the International Conference on Network Science (NetSci) in the Netherlands.
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May 2025｜Visit and talk at TUWien ML Research Unit in Austria. Thank you to Thomas Gärtner for the kind invitation.
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April 2025｜First-author paper at ICLR’25: GNNs getting ComFy: Community and feature similarity guided rewiring, previously presented at WiML NeurIPS’24. Featured in the TLDR AI newsletter.
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December 2024｜First-author paper at NeurIPS’24: Spectral graph pruning against over-squashing and over-smoothing.