Welcome to my personal site and portfolio. My name is Alejandro and I am a researcher from Barcelona. My area of expertise lies in the application of data science to various fields of scientific research, specifically in the areas of bioinformatics, epidemiology, and computational biomedicine.
Doctoral research carried out at ISGlobal within the Climate and Health group at the PRBB, funded by a Marie Skłodowska-Curie Actions grant through the HELICAL network.
Thesis: Atmospheric characterization and time-series analysis of the impact of environmental factors on disease onset. Read the dissertation.
During my MSc in Bioinformatics at Wageningen University & Research, I explored a wide range of computational biology topics: from R and (especially) Python programming, to systems biology, multiple omics fields, and data science subjects like machine learning, algorithmic development, and the usage of High Performance Computing (HPC).
For my thesis, I developed deep learning models to predict the subcellular localization of proteins, with an emphasis on making these models less of a black box. The thesis can be found here, and the GitHub repo is available here.
I studied Biotechnology at Universitat de Barcelona, where I built a strong base in molecular biology, microbiology, and biochemistry, along with lab experience. By my final year I was already leaning toward the computational side of biology.
My thesis focused on transcriptomics, carrying out a meta-analysis of differential expression methods for microarray data.
