We use statistical modeling and algorithms to develop methods for analyzing large biological datasets. Particularly, we develop scalable algorithms for high-throughput genomic and transcriptomic sequencing data to study problems related to genome assembly, structural variation detection, and transcriptome analysis. We emphasize applicability of the methods and models to relevant biological and biomedical questions.
Principal Investigator Biography
I am an Assistant Professor at Stockholm University (the Department of Mathematics) and SciLifeLab Fellow at the national center for molecular biosciences, Science for Life Laboratory. I obtained my PhD in Computer science from KTH Royal institute of Technology and I have worked as a Postdoctoral researcher at Pennsylvania State University and at University of Helsinki. Before that I obtained a bachelor’s degree in mathematics and a master’s degree in mathematical statistics from Stockholm University, Sweden. See my full CV.