Mazdak Salavati
Reader In Data Science
Greater Edinburgh Area United Kingdom
Summary
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SeniorMazdak Salavati is a Reader in Data Science based in Edinburgh with nine years of experience applying bioinformatics and high-performance computing to genomics, reproductive biology, and livestock informatics. He combines hands-on lab expertise—from ELISA and tissue culture to assisted reproductive technologies—with production-scale computational pipelines using Nextflow/Snakemake, R, Python, and cloud/HPC platforms (AWS, Azure, Beowulf). His work spans WGS assembly, novel variant discovery, RNA-Seq/ASE, ATAC/ChIP/CAGE analyses, and storage/BigData I/O solutions, enabling translational research across academia and industry. A proven team leader and core scientist at Roslin Institute before returning to academia, he also consults on data science applications for industry, bridging wet-lab constraints with scalable analytics. Notably, he pairs deep experimental know-how with workflow automation and database mining to accelerate reproducible genomic discovery.
9 years of coding experience
11 years of employment as a software developer
English, Persian
Github Skills (15)
windows-subsystem-for-linux10
operating-system9
python9
package-management9
conda9
nextflow7
lift6
structural-variation3
variants3
pipeline2
java-api1
api1
gwas1
specification1
java1
Programming languages (6)
Github contributions (5)
MazdaX/unix-one-liners
Apr 2017 - Oct 2022
Contributions:32 pushes, 1 branch in 5 years 7 months
MazdaX/nf-cage
Aug 2021 - Aug 2022
DSL2 NextFlow wrapped CAGE-Seq analysis pipeline from demultiplexing to base pair resolution read counting (i.e. compatible import to CAGEfightR)
Contributions:1 release, 56 commits, 2 PRs in 1 year
nextflow
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