The main direction of research is the development and application of a new methodology for assessing epigenetic modifications of histones at the level of single living cells using fluorescence microscopy. The method is based on the use of epigenetic landscape sensors and subsequent computer analysis of the resulting images using machine learning methods.

research areas
Development of genetically encoded sensors of epigenetic landscapes (ELS) for multiparametric analysis of epigenomic markers
Screening of libraries of synthetic compounds on cell cultures using ELS
Creation of experimental models of human stem cell differentiation to characterize changes in patterns of target epigenetic modifications
reation of an algorithm for analyzing multiple cell images for recognition and clustering of intranuclear epigenetic patterns
programm