Contact Details
After graduating in Physics (Granada, Spain), I did a PhD in Mathematics at the University of Groningen (The Netherlands) and was Marie Curie postdoctoral fellow at the Centre for Mathematical Sciences of the University of Cambridge (UK). In 2001, the many research challenges and opportunities posed by the landmark publication of the human genome motivated me to work on computational biology. I joined the Informatics Division of the Sanger Institute (2001-2004), where I contributed to the development of the Ensembl gene prediction pipeline. During this time, I developed one of the first computational methods to predict alternative splicing variants from expression data and contributed to the landmark papers of the mouse, rat and chicken genomes. In 2005 I was appointed ICREA Research Professor at the Pompeu Fabra University, where I led a research group focused on the development of computational tools to study alternative splicing in gene regulation and disease. In 2007 I obtained a Young Investigator Grant to participate in the European Network of Alternative Splicing (EURASNET), and in 2013 I was visiting Professor at the Donnelly Centre of the University of Toronto. Since 2019 I am EMBL Group Leader and Professor at the Genome Sciences department of the John Curtin School of Medical Research, Australian National University (ANU). My group is also part of the newly formed Biological Data Science Institute of the ANU.
Highlight publications
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ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning. Genome Biology (2019) Nov 29; 20(1):260. |
ReorientExpress: reference-free orientation of nanopore cDNA reads with deep learning. |
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Genome Biology (2018). 19(1):40 |
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions. |
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The functional impact of alternative splicing in cancer. Cell Reports (2017) 20(9):2215-2226. |
The functional impact of alternative splicing in cancer. |
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Genome Research (2016). 26(6), 732-744. |
Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks. |
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Nucleic Acids Research (2015). 43(3):1345-56. |
Detection of recurrent alternative splicing switches in tumor samples reveals novel signatures of cancer. |