Tiago Maié is a computational scientist and bioinformatics postdoc with 11 years of experience applying statistical and machine learning methods to epigenomics, population genetics and NGS pipelines. He built forward-time, individual-based population genetics software and has a strong track record of designing pipelines for whole-genome primate data and extracting small epigenetic signatures for cell-type classification and deconvolution. Now at Sequantrix after a postdoc at Uniklinik RWTH Aachen, he blends method development with reproducible analysis in R and ML toolchains. Colleagues value his combination of rigorous computational modeling and hands-on wet-lab familiarity from early molecular biology roles. An unusual detail: before academia he competed professionally in international gaming championships, illustrating strong competitive drive and rapid decision-making under pressure.
11 years of coding experience
5 years of employment as a software developer
Master's Degree Bioinformatics and Computational Biology, Master's Degree Bioinformatics and Computational Biology at University of Lisbon
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