We develop algorithms and statistical models to analyze large biological datasets. Particularly, we develop algorithms for all types of sequencing data related to sequence mapping, assembly, structural variation detection, and more.
Our lab is interested both in the theory of algorithms and statistical methods (primarily in bioinformatics), as well as the practical and applied aspects to relevant biological and biomedical questions.
Kristoffer Sahlin, PI
Alexander Petri (PhD student)
Benjamin Maier (MSc student)