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Nadia Tahiri is an Assistant Professor at the Université de Sherbrooke in the Department of Computer Science. Her research specializes in algorithm analysis and bioinformatics, particularly involving phylogenetic trees, consensus trees, and clustering algorithms. She has conducted significant work on the application of machine learning techniques to biological data, focusing on issues such as phylogeography and the reconstruction of phylogenetic networks. Her academic trajectory includes a postdoctoral fellowship at Université de Montréal and multiple research fellowships at Université du Québec à Montréal. She has contributed to several notable publications in platforms such as bioRxiv and arXiv, focusing on topics related to phylogenetic research and machine learning within the realm of bioinformatics. In addition to her research, she actively teaches various courses at Université de Sherbrooke, including those on algorithms and bioinformatics methodologies, aiming to enhance students' understanding of complex data structures and their applications in biological research.
Université de Sherbrooke • Sherbrooke, QC, Canada
Teaching courses related to computer science and bioinformatics, and conducting research in algorithm analysis.
The University of Sherbrooke is primarily a French-language institution; functional French (B2/C1 level) is typically required for most programs unless specified for research-based paths.