Digital skills

Oriented to bioinformatics and computational biology

• Genomic data hunter - Where is the data? Searching, fetching, and analyzing multi-omics datasets (TCGA, clinical trials, NCBI, HMF).
• Core background - Python, R, Bash, Nextflow, Snakemake, Conda, Docker, Git.
• Extensive usage of bioinformatics pipelines - Variant calling and interpretation, transcriptomics, epigenomics, CRISPr off-target.
• Multi-omics data analysis - Preprocessing, QC, batch effect correction, normalization, exploratory analysis, linear modeling, and multiple testing.
• High-performance computing - SLURM environments and Google Cloud.
• Moving to Deep Learning for genomics - Within the MOMENTUM program, I will apply DL approaches to analyze multi-omics data.

Soft skills and Values

Proactive listening, sharing plain reflections.

• Adapt to diverse environments - National|International, Experimental|Computational, Academic|Corporate, Local|Remote.
• Team spirit - Prioritizing team goals has driven my career.
• Empathy and context seeker - An effective way to engage with colleagues, customers, and stakeholders.
• Being entrepreneurial - Taking small risks to explore new projects and being accountable.
• Doing the right thing - Ensure ethical concerns in all my analyses and conclusions.

Teaching, scientific communication, outreach

If I can teach it, I truly understand it.

• Collaborating with bioinformatics student communities
• Contributing to bionformatics scientific organizations
• Teaching - Students' supervision at high school and master degree level for cancer genomics projects; lecturer in Genomic Medicine courses (UC3M, UPM).
• La Caixa PhD fellow.