PhD Students

With a background in Industrial Electronics and Automation Engineering, I design and maintain data management frameworks: data flow automation (Powershell), processing (R programming language), storage and backup (NAS) and server deployment in the cloud (AWS Elastic Computing (EC2) services). I am currently pursuing a PhD in analytical processing tools for tandem mass spectrometry.

Muhammad Faizan Khan, from Pakistan, has done a Master's in Computer Science from GIKI. His thesis title was "Fixed-Point optimization of fully convolutional networks". After his master's, he got a job at Pakistan National Radio & Telecommunication Corporation as a Team Lead in the Artificial intelligence LAB.
Project Name: A deep learning approach for identifying metabolites by mass spectrometry-based metabolomics

Graduate in Biochemistry and Molecular Biology now I am a PhD Student involved in metabolomics. My research is focused on advanced metabolomics applied to colorectal cancer. I am involved in gas-chromatography/mass spectrometry for volatile compounds following her interests in clinical metabolomics and in the developing of new computation methods for data analysis.

Following my diploma in pharmacy from Algeria, I completed master degree in Bio-analytical chemistry from Hochschule Fresenius in Germany. Currently, I am doing my PhD studies in mass spectrometry imaging. my research work is focused on analytical method development and sample preparation based on evaporation process for MALDI mass spectrometry imaging of biological samples

Graduated Biochemist and Bioinformatic analyzing omics data at the Metabolomics Platform using R and Python. Starting my PhD focused on metabolomics data analysis, multi-omics data integration and the development of new tools to analyze data and bring closer data analysis with biology.

Roger Giné

MSc in Bioinformatics and BSc in Biochemistry and Biotechnology. I am specialized in the development of metabolomics bioinformatics tools in R and Python. My research is focused on improving the characterization and quantification of untargeted LC-MS(/MS) and MS-Imaging experiments, as well as deploying novel software tools to our cloud-based computing infrastructure, Datoma.

roger.gine(ELIMINAR)@urv.cat

Nadia Molto

Currently pursuing my PhD in Bioinformatics, I hold a BSc in Biotechnology and an MSc in Bioinformatics and Statistics. My professional background includes experience in clinical research, where I specialised in big data analysis. My research focuses on developing new tools and strategies for spatially resolved metabolomics, using mass spectrometry imaging data analysis. This work aims to improve our understanding of the spatial distribution of metabolites within biological tissues, contributing to the advancement of metabolomics in clinical settings.

nadia.molto(ELIMINAR)@urv.cat ' 977 556 570 ' Lab. 241 (E1, campus Sescelades)

Camilla Guerrini

After earning my Bachelor's degree in Chemistry, I graduated with honors in Analytical Chemistry from the University of Pisa (Italy). Currently, I am a PhD student in exposomics and metabolomics. My research project integrates my analytical skills with data science, aiming to develop innovative workflows to characterise the chemical exposome during early life stages using biofluids. Additionally, I focus on processing and interpreting large datasets to uncover meaningful insights.

Camilla.guerrini(ELIMINAR)@urv.cat ' 977 556 570 ' Lab. 241 (E1, campus Sescelades)