I am a Postdoctoral Researcher in Cancer Epigenomics at CABIMER (Andalusia Center for Molecular Biology and Regenerative Medicine). My research focuses on leveraging multi-omics integration and machine learning to understand the epigenetic drivers of cancer.
- Current Work: Investigating the epigenetic landscape and regulatory networks in cancer.
- Impact: 128 Citations | h-index: 5 (as of 2026).
- Specializations: Cancer Epigenomics, Multi-omics Data Integration, and Machine Learning in Bioinformatics.
- Languages: R (Expert), Python, Bash.
- Bioinformatics: Bioconductor, DESeq2, Tidyverse, miRanda, biomaRt.
- Reproducibility: Renv, Git/GitHub, Modular Code Design.
- Predicting missing proteomics values from mRNA expression data using machine learning | CSBJ, 2022.
- R-ODAF: Omics data analysis framework for regulatory application | Bioinformatics, 2022.
- Multi-omics HeCaToS dataset of repeated dose toxicity for cardiotoxic & hepatotoxic compounds | Scientific Data, 2022.
- Knock-down of FOXO3, GATA2, NFE2L2 and AHR promotes doxorubicin-induced cardiotoxicity | Scientific Reports, 2024.
- ml_proteomics: Official codebase for mRNA-to-protein predictive modeling using machine learning.
- CircRNA-Cardio-MultiOmics: Bioinformatics pipeline for analyzing circular RNA regulatory networks.
- 🎓 Google Scholar Profile
- 📍 Seville, Spain