Martina Bressan earned her Master of Science in Chemical Science from the University of Milan on October 27, 2022. She has always been interested in Theoretical and Computational Chemistry, so she took courses in Theoretical Chemistry, Quantum Chemistry, and Molecular Simulation during her bachelor’s and master’s degrees. In her final year, she worked in a research group at the University of Milan, developing techniques for assessing molecular similarity. She gained a comprehensive understanding of Quantum Chemistry packages, especially Gaussian.After graduating, she started her career in an API manufacturing company. She began in IT, implementing worksheets in SAP and doing data entry. Then, she moved to Corporate QA, where she worked on the Quality Management System. She wrote procedures, conducted audits, managed suppliers and clients, and implemented an e-learning training management system.

After completing her Master’s degree, she enrolled in the Postgraduate Master in Healthcare (Methods and Data Analysis in Biomedical Research (MEDAL)) at the University of Milano Bicocca. This program further deepened her knowledge in Bioinformatics and Data Analysis, particularly in healthcare. She gained valuable experience in programming in R, data analysis, including reproducing survival analysis studies, and managing Clinical Trials data. During her thesis apprenticeship at the University of Milano Bicocca, she implemented chemical-physical aspects in a Multi-target Optimization Algorithm for Drug Candidate Generation using Python, enhancing her Python programming skills.Throughout her university studies, she attended various programming courses, including Programming C, Scientific and Technical Computing in C++ (Cineca), Plotting and Programming with Python (Archer2), Data Science with R and Python (Prace), and High-Performance Molecular Dynamics (Cineca).

In April 2025, she commenced her work with the Metabolomics Research Group as a Bioinformatic Junior, collaborating with multidisciplinary teams at Humanitas Research Hospital to enhance research outcomes. Her responsibilities includes conducting in-depth research in metabolomics and lipidomics, with a specific focus on lysosomal storage disorders. Additionally, she utilizes advanced statistical tools to analyze mass spectrometry data, thereby deriving meaningful insights.