Bernat Mora

Principal Biostatistician

Barcelona, Catalonia, Spain
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Summary

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Senior
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Top School
Bernat Mora is a Principal Biostatistician and data scientist with 11 years of experience applying Bayesian statistics, machine learning, and reproducible pipelines to large-scale environmental and biomedical problems. Trained as a physicist with a PhD in computational biology, he has bridged ecology, immunology, and translational medicine—from modeling climate-driven community shifts at ETH Zürich to analyzing longitudinal SARS-CoV-2 antibody responses for clinical decision-making. He builds containerized, scalable workflows for single-cell and multi-omics integration, has led cross-disciplinary teams, and retained advisory roles with university hospitals. Known for turning complex longitudinal and networked datasets into actionable insights, he seeks opportunities that tackle global environmental and health challenges.
code11 years of coding experience
job10 years of employment as a software developer
bookBachelor's degree, Physics, Bachelor's degree, Physics at Universitat Autònoma de Barcelona
bookDoctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at University of Canterbury
bookMaster's degree, Biomedical Research, Master's degree, Biomedical Research at Universitat Pompeu Fabra
languagesCatalan, Spanish, English, French
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Github Skills (14)

r-package8
statistical-inference7
interaction7
statistics6
python5
traits5
entropy5
mcmc5
correlation4
ecology4
geographic3
distributions3
machine-learning2
high-performance1

Programming languages (5)

JavaC++RCPython

Github contributions (5)

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Contributions:4 PRs, 11 pushes in 6 years 2 months
bernibra/RESOLDRE

Apr 2016 - Jan 2019

R package for the randomisation of interaction matrices
Contributions:43 commits, 1 PR, 28 pushes in 2 years 10 months
r-packageinteractionmatricesrandomisation
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Bernat Mora - Principal Biostatistician