Understanding biological systems with chemoinformatics
My name is Francesc Puig-Castellví and I am a postdoctoral researcher at European Genomic Institute for Diabetes in Lille, France. My long-term research is focused on deciphering how microbiomes respond to perturbations of any kind.
To do so, I collect omics data representative of these microbiomes and I analyze them with computational methods and techniques to analyze and interpret these omics data. Aiming to obtain the maximum relevant information from the data, I also develop my own data analysis tools and workflows. I am particularly interested in the development of methods for the analysis of metabolomics data, and of methods capable to combine and integrate data from different sources (multi-omics data analysis).
My CV
THE BIOLOGICAL SYSTEMS
I am dedicated to the study of complex microbial communities and their functional dynamics. My primary research includes the analysis of the human gut microbiome to decipher its interactions with host physiology and overall health. I am also interested in how daily exposures, ranging from nutrition to environmental chemical stressors, impact human health and the stability and composition of the human gut microbiome. Beyond human health, my expertise extends to industrial biotechnology through the study of anaerobic digesters. I have analyzed how microbial populations within these systems respond to perturbations, such as temperature fluctuations or growth inhibitors, and how these shifts dictate the efficiency of biogas production. My broader research trajectory includes work with single-species cultures, fish models, and human clinical samples (serum and urine). Furthermore, I have also applied my research expertise for exploring non-biological systems, for example, to investigate how molecular interactions within chemical mixtures are modulated by environmental conditions like pH and ionic strength.
View publicationsTHE DATA
In my work, I always try to use data as varied as possible. I have investigated data obtained with very different analytical platforms, mainly multivariate data (NMR spectroscopy, HPLC-MS, GC-MS, 16S rRNA sequencing, metagenomics, NIR hyperspectral imaging, 3D EEM fluorescence) but also univariate (pH, temperature, DOC, COD, NH4 concentration…). Most of the data I used was acquired by myself, except for some collaboration studies.
