Nikita Vasilev

Nikita Vasilev is a research engineer at the Skolkovo Institute of Science and Technology, focusing on testing state-of-the-art multimodal encoder methods and extracting embeddings for reinforcement learning tasks. Previously, Nikita held the position of junior research engineer at the same institute, working on machine learning algorithms for generating 3D static scenes. A student internship at SberDevices involved constructing a deep diffraction neural network for recognizing the MNIST dataset. Nikita's extensive research experience includes roles at the Rzhanov Institute of Semiconductor Physics and various academic institutions, with educational qualifications including a Master's degree in Data Science from Skolkovo Institute of Science and Technology and multiple degrees in condensed matter physics from Novosibirsk State University.