Sina Majidian

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Sina Majidian, Ph.D.
Postdoctoral Fellow, Langmead Lab
Department of Computer Science,
Johns Hopkins University.

Email: sina.majidian a.&t. gmail
[Google Scholar]

(Rome, Italy. Apr 24, 2022)

Research Interests

  • Comparative genomics

  • Orthology and phylogeny inference at scale

  • Genetic variations and haplotype assembly

About me

Orthology and phylogeny inference at scale, along with their applications, are my main research interests. I have developed methods and written software in the field of comparative genomics, aiming to enable evolutionary analysis at the scale of the Tree of Life. I contributed to the development of Read2Tree, a fast and accurate method for inferring phylogenies from sequencing reads. I am also the first author of FastOMA, a tool for accurately identifying orthologous genes by distinguishing them from paralogs. This tool makes a significant impact in orthology prediction and addresses the challenges of growing large-scale genomic data. I was invited to present this work at Institut Pasteur, University of Zurich, ISMB, and the Biodiversity Genomics Conference in 2023. Analysing genetic variations and haplotype assembly using mathematical modeling were focus of my PhD thesis. I have developed methods for estimating haplotype blocks from single nucleotide variants (SNVs) called from DNA sequencing reads. I have reviewed manuscripts for several journals including Genome Biology, Genome research, and NARGB.

Remote research projects

I have had the privilege of supervising several undergraduate and graduate students. We can define a six-month project focused on developing tools and conducting analyses in comparative genomics.

Experiences

Education