Summary
Maurício Ferreira is a postdoctoral researcher and computational biologist with nine years of experience applying bioinformatics, machine learning, deep learning, and metabolic modeling to industrial biotechnology and strain engineering. He specializes in the DBTL (Design, Build, Test, Learn) paradigm to design microbial strains and optimize bioprocesses, with recent work focusing on machine learning–driven metabolic engineering of photosynthetic organisms. His background spans genomics, transcriptomics, proteomics and metabolomics analysis, genome assembly and annotation, and hands-on teaching in microbiology and bioinformatics. Trained with an MSc and DSc in Agricultural Microbiology, he has combined academic research with industry-facing R&D to translate systems biology into scalable bioproducts. Based in Potsdam, Germany, he brings cross-cultural research experience from Brazil to European labs and is comfortable moving projects from computational models to experimental validation.
9 years of coding experience
9 years of employment as a software developer
Doctor of Science, Agricultural Microbiology, Doctor of Science, Agricultural Microbiology at Universidade Federal de Viçosa
Master of Science, Agricultural Microbiology, Master of Science, Agricultural Microbiology at Federal University of Viçosa
Bachelor of Science, Biological Sciences, Bachelor of Science, Biological Sciences at Federal University of Espirito Santo
Portuguese, English, German