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Manuela Geiß is a Senior Researcher for Data Science and leader of the research focus for biomedical AI. She has many years of experience in fundamental research as well as applied research projects.

Research Interests

• Machine Learning and especially Deep Learning for biomedical applications, in particular for medical imaging and molecular data
• Transfer Learning, especially in the context of personalized medicine
• Computer Vision (e.g. object detection, segmentation, classification)
• Explainable AI
• Graph Theory (graph editing, graph algorithms, trees, colored graphs)
• Phylogenetics (orthology and xenology relation, tree reconstruction, reconciliation maps)

Key Facts

• PhD studies in the Bioinformatics Group at Leipzig University, Germany, with focus on graph theory and algorithm development for automated reconstruction of phylogenetic trees from large data sets
• MSc in Mathematics at the University of Vienna with focus on population genetics
• BSc in Biology at the University of Vienna with focus on genetics and microbiology
• Lecturer for seminars on “Algorithms and Data Structures”
• Reviewer for international journals and conferences such as MICCAI, Frontiers in Medicine, Journal of Discrete Appl. Math.
• Co-Coordinator for several international conferences and workshops