About
Summary
I am an aspiring computational biologist/data scientist who can promptly adapt to different environments, having the ability to work in multi-disciplinary teams. Hard-work, passion and dedication is what drives my career. Being a goal-oriented and resilient researcher, I am currently seeking a new project which allows me to branch out into new fields where I can be at the interface between IT and life sciences. My aim is making use and refining my computational skills to become an even stronger asset to any company and/or research group.
Positions
Research Assistant Oct 2021 - Oct 2022
Biomedical and Metabolomics Unit, University of Geneva
"A data-driven workflow to enrich biomarkers annotation in untargeted metabolomics"
Chemometrics analysis of untargeted metabolomic data where I am developing my own Python library to wrap-up unsupervised and supervised machine learning algorithms (PCA, PLS...). Furthermore, network analysis of Recon2; aiming at annotating potential biomarkers based on MetaboRank suggestions.
Supervisors: Prof Serge Rudaz and Dr Julien Boccard
Education
University of Geneva 2020 - 2022
Field of study: Biochemistry
Degree: Master of Science
University of Salamanca 2015 - 2019
Field of study: Biology
Degree: Bachelor of Science
Skills
Machine Learning
Python: sklearn, numpy, pandas, scipy, matplotlib, plotly, tensorflow, keras
R: tidyverse, ggplot2, FactoMineR, factoextra, survival, caret
BASH
Bioinformatics: gene prediction, sequence sim. search, protein function prediction, protein-protein interaction
Git & GitHub
CV
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Contact details
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