Viktoria Dorfer

Viktoria Dorfer is Professor of Bioinformatics at the University of Applied Sciences Upper Austria (FHOOE), affiliated with the departments of Medical and Bioinformatics and Data Science and Engineering. She leads the computational proteomics subunit within the Bioinformatics Research Group and plays a central role in several national and international research projects. Viktoria holds a degree in Bioinformatics from FHOOE and earned her PhD in Informatics from the Johannes Kepler University Linz. A passionate educator, she has supervised over 20 MSc students and guided several PhD candidates, including three internally at FHOOE and three external doctoral examinations. Her teaching in proteomics, algorithm development, and programming is tightly interwoven with her research, ensuring students gain hands-on experience in solving real-world biomedical challenges.

Viktoria’s research focuses on computational proteomics, particularly the development and refinement of algorithms for mass spectrometry-based data analysis. Her doctoral work led to the creation of MS Amanda, a peptide identification algorithm tailored for high-resolution tandem mass spectrometry data, capable of accurately handling chimeric spectra. Her group continues to innovate at the intersection of bioinformatics and analytical chemistry. They are currently developing MS Ana, a library search engine that identifies peptides based on curated spectral libraries, and MS Annika, a specialized tool for identifying cross-linked peptides using cleavable linkers. These tools contribute to enhanced sensitivity, precision, and scalability in proteomic analyses. Through her leadership in the Computational Proteomics subunit, Viktoria provides the technical infrastructure and scientific insight required for robust data analysis pipelines. Her work supports not only research excellence but also the training of a new generation of bioinformatics specialists.