|Daniel Glez-Peña, PhD|
Daniel Glez-Peña (Ourense, 1982) obtained a Computer Science degree in 2005 and his PhD in 2009 in the field of Artificial Intelligence applied to the DNA microarray analysis in the University of Vigo, under Dr. Florentino Fdez-Riverola supervision. The combination of Artificial Intelligence with Life sciences (especially Bioinformatics) defines his main research line since then. Currently he continues working with his supervisor as a member of the SING research group (Next Generation Computer Systems Group).
During the PhD thesis, he developed published techniques and tools for Genomics (e.g.: GeneCBR, and WhichGenes) that were published in high impact journals, such as BMC Bioinformatics, Nucleic Acids Research. In addition to these works closely related to his PhD thesis, a fruitful collaboration with Dr. David Posada (University of Vigo), produced ALTER, a successful tool for genomic sequence format conversion (with a mean of 1100 visits/month), and also publised in Nucleic Acids Research. Moreover, he also developed AIBench, a software application framework for translational applications in biomedicine, in collaboration with Dr. Miguel Rocha at U. of Minho.
Since 2009, he also collaborates with the Bioscope research group (leaded by Dr. J.L. Capelo, U. Nova de Lisboa), designing and developing Mass spectrometry data analysis tools, initiating his line in Proteomics. The work with this research group led to multiple publications in specialized journals, such as Talanta and Eletrophoresis. Currently, we have published a new software tool: Mass-Up in BMC Bioinformatics.
In 2010 he got a postdoctoral fellowship (Ángeles Alvariño grant from Xunta de Galicia) for a stay of 8 months in the Spanish National Cancer Research Centre (CNIO) where he worked in the Bioinformatics Unit developing Next Generation Sequencing data analysis pipelines and algorithms, under David Pisano supervision. During this period, he got a deeper understanding of the exciting new field for genomics. In collaboration with the Bioinformatics Unit, he developed and published PileLine, an analysis pipeline for NGS, in BMC Bioinformatics and Nucleic Acids Research.
Since 2010 he is an Associate Professor at University of Vigo.
Regardless of being a research member in multiple R&D publicly-funded projects, from 2010 to 2013 was the head researcher of a successful research project applying Artificial Intelligence techniques to the automatic detection of hospital acquired infections, where a software system called InNoCBR was developed and which is being routinely used in the city hospital of Ourense (Spain). During this project, he supervised a PhD thesis.
In 2011, he supervised a PhD thesis again combining Artificial Intelligence and Bioinformatics, which produced GenEnsemble, a machine learning ensemble algorithm for microarray classification. The results of this thesis were published in Computer Science specialized journals such as Applied Soft Computing and Expert Systems with Appllications.
In the last years, he continues actively working with his collaborators in Bioscope, CNIO, etc. and is supervising three PhD thesis, in the field of Proteomics, Next Generation Sequencing and hospital acquired infection detections.