Tatiana Gaintseva

Hey! 👋

I am a PhD student at Digital Environment Research Institute (Queen Mary University of London), supervised by Prof. Gregory Slabaugh and Dr. Ziquan Liu. My work is supported by DeepMind studentship.

My research is related to exploring features of intermediate representations of foundation models. Currently I am investigating properties of intermediate representations of Vision-Language Generative Models.

Previously, I obtained my Bachelor’s degree in Applied Mathematics from Moscow Institute of Physics and Technology (MIPT) and Master’s degrees in Data Analysis from Moscow Institute of Physics and Technology and Yandex School of Data Analysis (YSDA). After graduation I worked as an AI researcher at Huawei Russian Research Institute and Philips Innovation Labs.

I have rich experience in teaching machine learning and deep learning courses. I am a founding member, methodologist and lecturer of Deep Learning School (MIPT). Additionally, I have experience teaching ML/DL classes at Moscow State University, Moscow Institute of Physics and Technology and other places.

In my spare time I enjoy reading, walking, doing fitness, playing padel and volleyball and spending time with friends. I am also really interested in neurobiology, psychology and connections between them and ideas of AI models.