Summary
Maria Freiberger is a computational biologist and teaching instructor with a PhD-in-progress from the University of Buenos Aires and eight years of experience applying bioinformatics to structural biology. She designs and implements pipelines, databases, and AI-driven methods (Keras/TensorFlow) to study protein energetic patterns, with practical expertise in Python, R, MySQL and Perl and additional exposure to C++, Matlab and HTML. Her work spans academia and industry—from a Barcelona Supercomputing Center internship to roles at Sorbonne Université, GeoProt and Pontificia Universidad Católica de Chile—resulting in 10 publications and international collaborations. She pairs hands-on software engineering (Dockerized tools on GitHub) with deep domain knowledge in proteomics, enabling large-scale curation and analysis of biological big data. As an educator she mentors interdisciplinary student teams and has supervised undergraduate theses, translating complex research into teachable projects. An underappreciated strength is her ability to bridge experimental design and algorithm development, producing reproducible tools that move structural insights toward practical databases and web visualizations.
8 years of coding experience
Bsc/MSc, Bioinformatic, Bsc/MSc, Bioinformatic at Facultad de Ingenieria - UNER
System Analyst, System Analyst at ISIV
Doctorado, Bioinformatics, Doctorado, Bioinformatics at Universidad de Buenos Aires