Celia Rubio‑Madrigal

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: HAICON, Cohere4AI, NetSci.

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. It allowed me to study a master’s at Strathclyde in Glasgow, UK, where I was awarded the Best Overall Performance Prize. I annually participate in organizing the European Girls’ Mathematical Olympiad (EGMO) as part of the IT team. I was featured in the Nova 111 Student List 2023 as one of the top 10 under 25 in Computer Science in Spain, and was selected for the 9th Heidelberg Laureate Forum in 2022. My passion for music and LaTeX inspired me in 2019 to publish a package, ddphonism, now included in MikTeX and the TeXLive Music bundle.

You can read my full CV here or view a timeline of all my past activities.

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