Egor holds a Bs degree in Applied Mathematics and Computer Science from the Moscow Institute of Physics and Technology. Egor is a junior researcher at Data analysis in neuroscience group at IITP. Egor’s research addresses a problem of bioelectrical signals classification. He developed a novel approach to dimensionality reduction for classification of electroencephalograms (EEG). Then he studied modifications of modern deep learning (DL) methods for classification of EEG and electromyograms (EMG). Egor built a bunch of such methods, including several unique DL layers.