Novel CRISPR/Cas systems discovery and characterisation using NGS data
Research is being conducted to find out specific traits of known systems’ behavior and search for the new ones of the same and related classes is on as well. The usage of NGS technology accompanied by the further analysis of the bioinformatic data allows to investigate the above mentioned systems more precisely.
CRISPR/Cas system shows high specificity to the corresponding binding sites and can be used in biotechnological applications and even genetic therapy.
Graduated from MSU, dept. of Computational Mathematics and Cybernetics. Supervisor M.G. Lebedev. “Mathematical modeling of propagation of gas-dynamic disturbances through idealized stand of trees”
Recieved k.f.-m.n (Ph.D) in Mathematical Modeling, Numerical Methods, and Software Packages. Supervisor M.G. Lebedev. “Mathematical modeling of wave front propagation through vegetation”
CRISP/Cas systems of bacterial immunity, Bioinformatics, NGS data analysis, ML, HPC computing
Some experience of industrial software development, IT, bioiformatics startup.
Diploma for “Analysis of the cell reaction on the viral infection” project on “OMICS Data Analysis in Medicine 2015”