Saeedeh Akbari

Saeedeh Akbari is a Researcher at KTH Royal Institute of Technology, affiliated with the Division of Computational Science and Technology. Her research focuses on computational biology and bioinformatics, combining algorithmic development with machine learning to analyze biological data. She specializes in single-cell sequencing, phylogenetic inference via variational Bayesian methods, and metagenomics analysis. Her work also explores protein structure prediction and genetic mechanisms underlying diseases.

Currently, her postdoctoral research emphasizes lineage tracing and computational approaches to understand biological processes. She advocates for design-thinking methodologies to tackle complex problems in her field. No specific awards or grants are listed in the provided information.