Nadia Pisanti

Roles & Affiliations: Professor at the Department of Computer Science, University of Pisa since at least 2005. Active in teaching and research in Bioinformatics and Algorithms. Collaborative roles at University of Siena for Bioinformatics master programs.
Affiliations: University of Pisa (primary), University of Siena (visiting roles).

Education Background:

• PhD in Computer Science (implied via academic rank)
• Advanced training in Computational Biology and Algorithm Design

Research Interests:

Focuses on string algorithms with applications in bioinformatics, including genomic sequence analysis, variant discovery, and algorithmic foundations. Specializes in elastic-degenerate string processing, pangenome graphs, and efficient data structures for large-scale genomic data. Develops tools like WhatsHap for haplotype assembly and RettDb for disease genomics.

Teaching Contributions:

• Core courses in Algorithms, Bioinformatics, and Programming for undergrad/graduate students
• Master's courses in Bioinformatics and Data Science (University of Pisa/Siena)
• PhD-level workshops on genomic algorithms

Recent Trends in Articles:

Recent work emphasizes deep learning applications in genomics, efficient string indexing methods, and pangenome analysis. Explores new paradigms for comparing elastic-degenerate strings and managing genomic variation data at scale. Active in algorithmic foundations and interdisciplinary applications.

Grants & Labs:

Leads research teams in bioinformatics algorithm development. Involved in EU-funded projects on computational genomics and algorithmic methods. Collaborates with medical institutions on translational research (e.g., Rett syndrome genomic database).