Bernat Mora
Principal Biostatistician
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolBernat 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.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Universitat Autònoma de BarcelonaDoctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at University of CanterburyMaster's degree, Biomedical Research, Master's degree, Biomedical Research at Universitat Pompeu Fabra
Catalan, Spanish, English, French
Github Skills (14)
statistical-inference9
complex-networks8
r-package8
python8
distributions7
mcmc7
statistics7
traits6
geographic6
r6
ecology5
entropy4
machine-learning2
high-performance1
Programming languages (5)
Github contributions (5)
bernibra/data-rich-insight-poor
Nov 2017 - Jan 2024
Contributions:4 PRs, 11 pushes in 6 years 2 months
bernibra/plant-stan
Sep 2020 - Jun 2022
Contributions:168 pushes, 1 branch in 1 year 9 months
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