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
PhD Graduate 2018
PhD Graduate 2017
PhD Graduate 2017
MSc student graduate 2019
MSc graduate 2018
MSc graduate 2019
Joint PhD Programm with Ben-Gurion University of the Negev
MSc graduate 2019
MSc graduate 2018
MSc graduate 2018
MSc graduate 2018
MSc graduate 2019
MSc graduate 2019
MSc graduate 2020
MSc student graduate 2019
Joint PhD Program with The University of Strasbourg
MSc student graduate 2019
MSc graduate 2018
MSc student graduate 2019
MSc student