Scalable Graph Algorithms for Bioinformatics using Structure, Parameterization and Dynamic Updates, ERC Consolidator Grant, 9/2025-8/2030 Sequencing technologies have developed to be cheap and ...

In HIV-1-infected patients with extensive drug resistance, the optimization of background antiretroviral therapy is essential when changing drugs after treatment failure. The genotypic sensitivity ...

We are living in an era where biology has become synonymous with big data due to the ever-increasing amount of data being generated by technologies such as next-generation sequencing. Bioinformatics ...

Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled ...

Bioinformatics, at the intersection of biology and computational science, has transformed genetic diagnostics by enabling comprehensive analysis and interpretation of complex biological data. As ...

The scientific method is an iterative process of making observations, creating hypotheses, making predictions, and then testing these predictions to further validate or disprove the hypothesis.

Our research is focused on graph algorithms, from both a theoretical perspective, and a practical perspective motivated by real-world problems in Bioinformatics, such as genome sequencing technologies ...