Siavash Mirarab Mir arabbaygi

Siavash Mirarab Mir arabbaygi is an Associate Professor in the Electrical and Computer Engineering department at the University of California, San Diego. His research interests include computational biology and bioinformatics, parallel computing, and big data analytics. His work focuses on accurate and scalable analysis of large-scale biological datasets, particularly in evolutionary biology and the use of genomic data to reconstruct the evolutionary past. He is interested in algorithmic developments that enable high-accuracy analysis of large datasets with reasonable computational demands. These algorithms find application in areas such as multiple sequence alignment, metagenomics, and phylogenetic reconstruction from whole genomes. Mirarab joined the department in September 2015.

Siavash Mirarab is a computational biologist specializing in phylogenetics, multiple sequence alignment, and computational methods for evolutionary analysis. His research focuses on developing algorithms and tools for reconstructing species trees from genealogical data, improving the accuracy of phylogenetic inference, and analyzing large-scale genomic datasets. Mirarab has contributed to projects involving microbial diversity, plant phylogenomics, and comparative genomics, emphasizing the integration of computational techniques with biological data. His work includes the development of tools such as ASTRAL and PASTA, which are widely used for species tree estimation and multiple sequence alignment, respectively.