Welcome to my page!

My name is Francesc Fernandez-Albert and I was a PhD Student in Bioinformatics at the B2SLab in the Universitat Politècnica de Catalunya (UPC). I hold a degree in Physics from the University of Barcelona (UB) and a Master in Biomedical Engineering from both the same university and the UPC.

My thesis is based on Machine Learning Computational Methods for the Analysis of Liquid Chromatography/Mass Spectrometry (LC/MS) Metabolomic Data. I was lucky to have two thesis co-advisors of very different scientific formation: Dr Alexandre Perera and Dr Rafael Llorach. Under their supervision, I designed new tools and methods to improve the statistical analysis of the LC/MS metabolomic data, putting special emphasis on improving the predictive power of the data.

I am a firm believer in open source solutions in Computer Science (especially in Bioinformatics). Therefore, I always try to make all my tools available to everyone. All the tools I have developed in my thesis are available as R packages.

Under a close collaboration with the University of Barcelona’s Nutrimetabolomics group, coordinated by Dra. Cristina Andres-Lacueva, I developed an R package to perform end-to-end LC/MS Metabolomic analyses called MAIT that was published in the Bioinformatics Journal.

Check my Google Scholar Profile here

Published Journal Papers

Fernández-Albert F., Llorach R., Garcia-Aloy M, Ziyatdinov A, Andrés-Lacueva C., Perera-Lluna A. Intensity drift removal in LC/MS metabolomics by Common Variance Compensation. Bioinformatics (2014). Link

Fernández-Albert F., Llorach R., Andrés-Lacueva C., Perera-Lluna A. An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit). Bioinformatics 30(13):1937-9 (2014). Link

Fernández-Albert F., Llorach R., Andrés-Lacueva C., Perera-Lluna A. Peak Aggregation as an Innovative Strategy for Improving the Predictive Power of LC-MS Metabolomic Profiles. Analytical Chemistry 86 (5), 2320–2325 (2014). Link