Pau Pujalte

Senior Deep Learning Researcher at BRAINOMIX

Greater Oxford Area United Kingdom
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Summary

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Senior
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Top School
Pau Pujalte is a Senior Deep Learning Researcher with 11 years of experience applying ML and signal-processing expertise to real-world biomedical and genomic problems. He has led R&D at Brainomix developing clinical-grade deep learning algorithms for stroke imaging after a strong academic career including a PhD in signal processing and bioinformatics. His background spans hands-on implementation in Python, R, C++ and Matlab, with notable work on integrating heterogeneous biological data for gene regulatory inference and genomic selection. Based in the Greater Oxford Area, he blends academic rigor from European research institutions with product-driven deployment in healthcare AI. A less obvious strength is his long-running cross-domain fluency—moving between remote sensing, genomics and medical imaging—which helps him translate novel models into robust, clinical-ready solutions.
code11 years of coding experience
job11 years of employment as a software developer
bookTechnical Telecommunications Engineer, Audiovisual Communications Technologies/Technicians, 7,75, Technical Telecommunications Engineer, Audiovisual Communications Technologies/Technicians, 7,75 at Universitat d'Alacant
bookTelecommunications Engineer, Comunications, 8,222, Telecommunications Engineer, Comunications, 8,222 at UPC - ETSETB TelecomBCN
bookUPC Universitat Politècnica de Catalunya
languagesSpanish, English, Catalan, French
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Stackoverflow

Stats
95reputation
23kreached
2answers
3questions
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Github Skills (15)

prediction10
traits10
gene-expression9
genetics9
deep-learning8
keras6
bioinformatics6
rcpp6
branch-and-bound6
knapsack-problem6
python6
numpy6
r6
benchmarking5
inference3

Programming languages (1)

Python

Github contributions (5)

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paubellot/netbenchmark

Mar 2015 - May 2020

Contributions:50 commits, 1 PR, 10 pushes in 5 years 2 months
benchmarkinggene-networkgene-expressioninference-algorithmsinference
paubellot/DL-Biobank

Feb 2018 - Sep 2022

Can deep learning improve genomic prediction of complex human traits? by Pau Bellot, Gustavo de los Campos, Miguel Pérez-Enciso, Genetics
Contributions:58 commits, 20 PRs, 57 pushes in 4 years 7 months
genomic-predictiongeneticspredictiondeep-learninglos
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