CV

Education

• B.S. in Biotechnology, Universitat Autonòma de Barcelona (UAB), 2019
• M.S. in Bioinformatics & Omics Data Analysis, Universitat de Barcelona-Universitat de Vic (UB-UVIC-UCC), 2020
• Ph.D in Biomedicine, Universitat Pompeu Fabra (UPF), 2025 (expected)

Relevant work experience

• February 2021-Present: Bioinformatics Scientist
  • Flomics Biotech S.L.
  • Duties include: Data analysis, pipeline development, use of machine learning algorithms, bioinformatics platform management, training new pipeline developers.
  • Carrying out my Industrial Ph.D project, with the title: “Early detection of colorectal cancer with an RNA-Seq-based liquid biopsy test”.
• October 2019-February 2021: Manager and instructor
  • Codelearn Eixample Dret
  • Duties included: Managing the center (enrollments, communication with parents, scheduling, etc) and teaching.
• April 2020-September 2020: Master’s Thesis Internship
  • IRB; Ribas Lab
  • Participated in an ongoing project developing tRNAstudio (more info in “Publications”)
  • Thesis title: “Development of an tRNA analysis pipeline.”
• October 2018-June 2019: Final Degree Thesis Internship
  • IMIM; MARgenomics
  • Carried on benchmarking of several RNA-seq aligners and found optimal parameters for the work that was being done.
  • Thesis title: “Genomic data analysis and its implications on biology and biotechnology: Benchmarking of RNA-seq alignment tools.”

Skills

• Knowledgeable in the following languages:
  • R: data analysis, machine learning algorithms, and appealing interactive visualizations with packages such as DT, plotly, ggplot and htmldashboard.
  • Python: data analysis, machine learning algorithms, and visualization with packages such as pandas and matplotlib.
  • Nextflow: creation of DSL2 analysis pipelines, with special interest in reproducibility and user-friendliness.
  • Perl, Bash, and COBOL scripting.
  • HTML, CSS, and Javascript for web and markdown design.
• Omic-data analysis, specially:
  • Transcriptomics
  • Metagenomics
  • Genomics
  • General and applied statistics to biological and life sciences.
• Machine Learning:
  • Knowledgeable in supervised and unsupervised machine learning algorithms applied to life sciences in general, and biomarker discovery in particular.
• AWS
• Docker, Singularity, Conda, Git, CLI, and other helper tools for Bioinformatics
• Aside from hard skills, I consider myself someone eager to learn, solve problems, and overcome obstacles by finding creative and inventive solutions while being a team-player.

Publications

tRNAstudio: facilitating the study of human mature tRNAs from deep sequencing datasets

Marina Murillo-Recio, Ignacio Miguel Martínez de Lejarza Samper, Cristina Tuñí i Domínguez, Lluís Ribas de Pouplana, Adrian Gabriel Torres. (2022). "tRNAstudio: facilitating the study of human mature tRNAs from deep sequencing datasets." Bioinformatics, Volume 38, Issue 10, May 2022, Pages 2934–2936, [https://doi.org/10.1093/bioinformatics/btac198](https://doi.org/10.1093/bioinformatics/btac198)

Teaching & Mentoring

Small World Initiative UAB Teaching Assistant

Programming & Robotics Teacher

Scientific Advisor for UPF’s Bachelor’s Thesis in Telecommunications Network Engineering

nf-core Mentor

Service and leadership

• Member of the Nexflow Ambassadors team.
• Active member of nf-core and Nextflow projects and Slack spaces, contributing to viralrecon, rnaseq, ampliseq, and differentialabundance pipelines.
• Safety officer for nf-core Hackathons and member of the nf-core’s Outreach team since 2021.