On Lounge since Oct 2026
Tatiana Gaintseva
Member #260DeveloperL2AI Researcher, Queen Mary University of London
Ph.D. candidate in AI research, ML/DL teacher
Achievements
Plugged In ×4Connected sources: GitHub, Hugging Face, LinkedIn, X, website.How: Connected 4 sources (GitHub, LinkedIn, X or a website) in Settings
Plugged In×4Featured
ShipperProjects on your profile.How: Added 1 project to their profile
Shipper
Founding MemberOne of the first 500 members.How: Joined Lounge in the founding cohort
Founding Member
Pinned projects
An official code for the paper "CASteer: Steering Diffusion Models for Controllable Generation"
Code for paper RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
Stack
ChatGPTClaude CodeCodex
About
Tatiana Gaintseva is an AI researcher and PhD candidate at Queen Mary University of London in London, supervised by Greg Slabaugh and Martin Benning and supported by a DeepMind studentship. She was a research intern at Huawei Noah's Ark Lab in London and is a founding member and lecturer of Deep Learning School at MIPT. Tatiana now studies how to steer generative models, including CASteer and RAVE, and teaches AI and LLM fundamentals at Nebius Academy.
