María Rodríguez Martínez is an Associate Professor at the Yale School of Medicine and an Adjunct Researcher at the Institute of Tissue Medicine and Pathology, University of Bern since 2024. With a background in physics, she transitioned to computational biology during her postdoctoral studies at the Weizmann Institute of Science (Israel) and Columbia University (USA). Between 2013 and 2023, she led the Computational Systems Biology team at IBM Research Europe (Switzerland), dedicated to the development of novel computational strategies for personalized cancer treatments. A major part of this work was developed under the umbrella of two major EU-funded consortia focused on prostate and pediatric cancers, which she successfully initiated and coordinated. Her current research integrates mechanistic and artificial intelligence models, with a particular emphasis on the development of interpretable deep learning approaches for computational biology. Recently, her research has concentrated on cancer immunology, leading to the development of predictive models for T cell receptor binding and the exploration of B cell evolution. Presently, she contributes as an editor to several journals, including ImmunoInformatics, Frontiers in Systems Biology, and IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. She is a frequent speaker and an active member of the organizing committees for leading conferences in Computational and Mathematical Biology, such as ISMB, the Society of Mathematical Biology, and ECCB, among others.