Summary
Alexandre Magalhães is a Senior Computational Biologist at the Max Planck Institute for Molecular Genetics with over a decade of experience integrating high-throughput sequencing, single-cell and spatial omics, and CRISPR-based perturbation assays into robust analysis pipelines. He combines deep wet-lab expertise in plant molecular biology and advanced microscopy with strong computational skills in Python, R and machine learning to translate complex genomic datasets into biological insight. Alexandre has designed workflows across Illumina, PacBio, Nanopore, 10X and other platforms for both model and non-model organisms and applies AI-driven protein structure modeling for de novo design and antibody optimization. His interests include protein sequence grammar underlying liquid–liquid phase separation and transcriptional activity, a niche that bridges sequence-level patterns with functional regulation. He also brings practical IT and cloud experience (including AWS) and a hands-on tinkering background in CAD, 3D printing and electronics that supports custom experimental setups. Fluent in turning interdisciplinary problems into reproducible pipelines, he pairs academic rigor from TUM and Universidade do Minho with active engagement in open-science communities.
10 years of coding experience
Technical University of Munich
Master's degree, Plant Molecular Biology, Biotechnology and Bioentrepreneurship, 18, Master's degree, Plant Molecular Biology, Biotechnology and Bioentrepreneurship, 18 at Universidade do Minho
English, Spanish, Portuguese, French, Greek, German