Senior Machine Learning Engineer at NIMBLE Diagnostics
Barcelona, Catalonia, Spain
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Summary
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Senior
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Top School
Alejandro Fontal is a computational scientist and postdoctoral researcher based in Barcelona with a decade of experience at the intersection of data science, epidemiology, bioinformatics, and machine learning. His PhD and MS work focused on healthcare data linkage and deep-learning approaches to biological sequence interpretation, including interpretable Conv-LSTM models for protein localization and automated microbiome characterization from air samples. He has applied ML to protein engineering in industry (DuPont) and developed reproducible bioinformatics pipelines for experimental data analysis. Comfortable moving between academic research networks (MSCA-ITN HELICAL) and industrial settings, he combines methodological rigor with practical pipeline engineering. Colleagues value his ability to translate complex biological questions into scalable data-driven solutions and to open the “black box” of neural models to extract biological insight.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at Wageningen University & Research
Doctor of Philosophy - PhD Data Science / Epidemiology / Biotechnology, Doctor of Philosophy - PhD Data Science / Epidemiology / Biotechnology at Universitat de Barcelona
Contributions:2 PRs, 13 pushes, 6 branches in 4 years 1 month
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