Studies
Biomedical Sciences
2021-2025 · Universitat Autònoma de Barcelona (UAB)
Training focused on the biological mechanisms underlying human health and disease, integrating molecular biology, genetics, immunology and bioinformatics together with laboratory and clinical exposure.
- Molecular biology, genetics and immunology
- Physiology and biomedical mechanisms of disease
- Bioinformatics and microbiome analysis
- Laboratory training in biomedical techniques
- Clinical exposure at Hospital de Sant Pau
- Practical training at Hospital Vall d’Hebron
BSc Thesis
Compositional and ecological alterations of the intestinal microbiota associated with colorectal cancer and its progression
My final thesis investigated compositional and ecological alterations of the gut microbiota associated with colorectal cancer (CRC) using publicly available 16S rRNA sequencing data from 117 individuals (89 CRC patients and 28 healthy controls). Using R-based microbiome analysis (phyloseq, ALDEx2, SpiecEasi), I analyzed taxonomic composition, alpha and beta diversity, and microbial co-occurrence networks.
Results revealed reduced microbial richness and increased heterogeneity in CRC patients, enrichment of taxa such as Parvimonas and Peptostreptococcus, and a reorganization of microbial ecological interactions where pathogenic taxa such as Fusobacterium nucleatum gained centrality in advanced stages.
Erasmus+ Intern
July-August 2024 · Institut de Génomique Fonctionnelle (IGF), Montpellier
Research stay in the Signaling, Plasticity and Cancer Laboratory investigating transcriptional and immune heterogeneity in colorectal adenomas.
- Bulk RNA-seq computational analysis
- Clustering and gene set enrichment analysis
- Immune cell deconvolution
- Statistical analysis in R
- RNA extraction and qPCR
- Immunohistochemistry
- Observation of Western blot and immunofluorescence
Research Intern
October 2024 - May 2025 · Department of Cell Biology, Physiology and Immunology, UAB
Research project investigating the impact of genomic ploidy on colorectal cancer progression.
- Cell culture
- Metaphase chromosome analysis
- Fluorescence in situ hybridization (FISH)
- Chicken embryo CAM tumor model
- Tumor growth and invasion assays
- Comparative analysis of tumor clones with different ploidy levels
Master in Bioinformatics
2025-2027 · Universitat Pompeu Fabra (UPF)
Advanced training in computational methods for biomedical research integrating programming, statistics, genomics and machine learning.
- Python for bioinformatics
- Statistical analysis of biomedical datasets
- Genomics and genome–phenome analysis
- Data mining and machine learning
- Computational biology and systems biology
