Celia Rubio‑Madrigal


About me

I am a PhD candidate at the Relational ML Lab, supervised by Dr. Rebekka Burkholz at CISPA Helmholtz Center for Information Security in Saarland, Germany.

My research focuses on machine learning for structured data. I am particularly interested in how input structures shape both data representation and computation, with broader interests in graph learning, generalization trade-offs, and architectural efficiency. My work has been published at NeurIPS, ICLR, and ICML, and presented in multiple talks and posters.

Background

I hold degrees in Mathematics and Computer Science from Universidad Complutense de Madrid. In 2022, I received a postgraduate fellowship from la Caixa Foundation, which supported my master’s studies at the University of Strathclyde in the UK, where I was awarded the Departmental Best Overall Performance Prize.

I was featured on the Nova 111 Student List 2023 as one of the top 10 under 25 in Computer Science in Spain. I have also been selected twice for the Heidelberg Laureate Forum: the 13th edition in 2026 and the 9th edition in 2022, where I was interviewed.

Beyond research, I annually support the European Girls’ Mathematical Olympiad (EGMO) as part of the IT team with Joseph Myers since 2023. In 2019, I developed ddphonism, a LaTeX package for twelve-tone music notation.

My CV is available here.

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