About
Summary
Computational biologist with strong technical and programming background. My main interests are computational cancer genomics, virology, use of statistics and predictive models, programming, algorithms, artificial intelligence, machine learning and parallel programming.
Positions
Bioinformatics Officer Jan 2016 -
Study of risk factors of prostate cancer. Currently collaborating with ICGC Project, attendance on international meetings.
Analyses being performed include NGS of germline whole genomes, eQTL, co-localisation of variants, PCA, variant annotation, haplotype analysis, genotype imputation.
Used to working with several file formats like FASTQ, BAM, VCF.
Tools used include Picard tools, SAMtools, BWA, cutadapt, FastQC, IGV, GATK, VEP, wAnnovar, Oncotator, FastQTL, PLINK, Impute2, several R packages like SNPRelate, haplostats, snpstats.
Programming languages include R, Python and Shell script.
Machine Learning algorithms include Random Forests, Neural Networks, SVM, linear and logistic regression, using NumPy, Scipy, sklearn packages.
Education
UPF 2013 - 2015
Field of study: Bioinformatics
Degree: Master in Bioinformatics for Health Sciences
2-year Master in Bioinformatics
UPC 2006 - 2013
Field of study: Computer Science
Degree: Computer Science
5-year degree in Computer Engineering
Skills
Programing (Python, R, C++)
Databases (MySQL, PostgreSQL)
Bioinformatics (specially in genomics)
NGS (variant calling, QC, variant annotation, ...)
Machine Learning (scikit, nnet, rpart, ...)
Professional interests
Bioinformatics
Pipeline development
Machine Learning
Data Science
Languages
Spanish, English
CV
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