Natalia Rubanova

Supervisor: Konstantin Severinov
Entry year to Skoltech – 2016

Research project: “Computational aspects of CRISPR systems action”

Education:
Sc. In Applied Mathematics, Department of Computational Mathematics and Cybernetics,
Moscow State University (Specialist degree)
Diploma Thesis : “Solving an optimal control problem with integral functional and phase constraints by reducing it to an optimal compatibility parameter problem”

Research interests:
My main fields of interest are systems biology and bioinformatics. My research project is aimed at studying basic biology of the CRISPR-Cas systems, including the study of the efficacy of the systems depending on the mutation in the CRISPR locus, by analyzing NGS data.

Presentations:
Natalia Rubanova “Novel molecular pathways in skeletal muscle differentiation discovered by network analysis” IHES, 2016

Poster presentations:
Natalia Rubanova, Nadya Morozova “Network analysis of genome-wide loss-of-function screens and its application to cancer research”:
European Conference on Computational Biology, 2016
International Conference on Systems Biology, 2016
Advances in Systems and Synthetic Biology, 2016