Three years of NGS data analysis (WGS and rna-seq), including SNP and indel calling (familiar with all main tools for WGS data, including samtools, pysam, bowtie2), analysis of differential gene expression (using R packages limma and DESeq2), phylogenetic analysis (including dated phylogeny with BEAST software), network analysis, population genetics and statistics.
Proficient in statistics – all main statistical tests, FDR, multiple hypothesis testing, regressions.
Experienced in machine learning, data analysis (including image processing), data visualization.
Programming languages: R, Matlab, Python.
Experienced in high-performance parallel computing
Bachelor of Applied Science (B.A.Sc.), Applied Maths and Physics | Moscow Institute of Physics and Technology
Molecular biology, biochemistry, genetic engineering, molecular phylogenetics
R, Matlab, Python;
Past & ongoing projects:
System biology of M.tuberculosis;
Phylogenetic analysis of M.tuberculosis;