André Faure

Co-Founder & CTO at ALLOX

Barcelona, Catalonia, Spain
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Summary

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Rockstar
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André Faure is a Co-Founder and CTO with eight years of industry experience at the intersection of data science and biotechnology, backed by a PhD in Bioinformatics from the University of Cambridge. He has progressed from systems engineering to leading bioinformatics teams at CRG and Verge Genomics, and now builds product and technical strategy for ALLOX. Skilled in R, Python, computational biology, functional genomics and machine learning, he translates complex genomic research into deployable software and data-driven insights. André combines academic rigor with entrepreneurial grit—he co-founded a company and previously participated in Entrepreneur First—while showing a sustained interest in increasing openness in science through projects like Authorwise. Based in Barcelona, he brings both hands-on modeling expertise and leadership in shaping data platforms for biotech applications.
code8 years of coding experience
job13 years of employment as a software developer
bookMaster’s Degree, Bioinformatics, Master’s Degree, Bioinformatics at University of Cape Town
bookDoctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at University of Cambridge
bookBachelor’s Degree, Electrical and Electronic Engineering, Bachelor’s Degree, Electrical and Electronic Engineering at University of Stellenbosch
languagesEnglish, Spanish
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Github Skills (37)

package-management10
conda10
bioinformatics10
bioconda9
computational-biology8
open-access8
journal8
structural-biology8
r7
creative-commons7
fasta6
microbiome6
fastq6
sequencing6
graphic6

Programming languages (5)

RC++ShellJavaScriptPython

Github contributions (5)

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lehner-lab/DiMSum

May 2018 - Feb 2023

An error model and pipeline for analyzing deep mutational scanning (DMS) data and diagnosing common experimental pathologies
Contributions:11 releases, 349 commits, 269 pushes in 4 years 9 months
lehner-lab/doubledeepms

Apr 2021 - Jun 2022

Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapping the energetic and allosteric landscapes of protein binding domains (Faure AJ, Domingo J & Schmiedel JM et al., 2022)
Contributions:56 commits, 2 PRs, 40 pushes in 1 year 1 month
analysesfiguresstructural-biologybioinformaticsreproduce
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