Research advisor: Mikhail Gelfand
Program entry year: 2020
Graduated from Skolkovo Institute of Science and Technology, Biotechnology in 2020
Research project: Evolution of T-boxes
Research interests: RNA, deep learning, structural biology, transcription regulation in bacteria
Conference presentations: Feature extraction by neural network trained to predict RNA structure. L.Grigorashvili, M.Gelfand, Z.Chervontseva. Proceedings of 10th Moscow Conference on Computational Molecular Biology MCCMB’21, July 30th — August 2nd, 2021. Poster presentation.
PhD Graduate 2017
MSc student graduate 2019
MSc graduate 2019
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 student graduate 2019
MSc student