ctuni@website:~/cv$ man cv

CRISTINA TUÑÍ I DOMÍNGUEZ - 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.

Industrial Ph.D project: “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 @ Ribas Lab; IRB

Participated in an ongoing project developing `tRNAstudio`.

Thesis title: “Development of an tRNA analysis pipeline.”

October 2018-June 2019: Final Degree Thesis Internship @ MARgenomics; IMIM

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 interactive visualizations with `DT`, `plotly`, `ggplot` and `htmldashboard`.
• Python: data analysis, machine learning algorithms, and visualization with `pandas` and `matplotlib`.
• Nextflow: creation of DSL2 analysis pipelines, with a focus on reproducibility and user-friendliness.
• Perl, Bash, and COBOL scripting.
• HTML, CSS, and Javascript for web and markdown design.

Omic-data analysis, especially in:

• Transcriptomics
• Metagenomics
• Genomics
• General and applied statistics to biological and life sciences.

Machine Learning:

• Supervised and unsupervised machine learning algorithms applied to life sciences, particularly in biomarker discovery.

Additional skills:

• AWS
• Docker, Singularity, Conda, Git, CLI, and other helper tools for Bioinformatics
• Strong problem-solving abilities, eagerness to learn, and a team-player attitude.

Publications

• 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

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 Nextflow 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.