Alejandro Rojo is a postdoctoral researcher and PhD-trained statistician with eight years of experience applying data science, bioinformatics, and machine learning to microbial and biological problems. He has held roles across academia and research institutions—including KU Leuven, VITO and VIB—designing databases for sequence data and developing AI tools for antimicrobial peptide prediction. His background blends chemical engineering foundations with an MSc in Bioinformatics and hands-on work in sequence analysis, statistical modeling and reproducible research workflows. Based in Antwerp, he is actively transitioning research expertise into data science roles, bringing both experimental lab experience and production-ready data systems to tackle biological datasets. An understated strength is his cross-disciplinary fluency: he converts domain experiments into actionable computational pipelines that support decision-making in public and private research settings.
8 years of coding experience
6 years of employment as a software developer
MSc. Bioinformatics, Major in Bioengineering, MSc. Bioinformatics, Major in Bioengineering at KU Leuven
Specialization in Biotechnology, Bioinformatics, Specialization in Biotechnology, Bioinformatics at Universidad Nacional de Colombia
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Hasselt University
Statistical Methods for Bioinformatics Project 2018-2019
Contributions:21 pushes, 1 branch in 17 days
bioinformaticsstatisticalstatistical-methods
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Alejandro Rojo - Postdoctoral Researcher at KU Leuven