On AI Lounge since Oct 2026
Tatiana Gaintseva
Member #260DeveloperL2AI Researcher, Queen Mary University of London
Ph.D. candidate in AI research, ML/DL teacher
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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
Shipper ×2Projects on your profile.How: Added 5 projects to their profile
Shipper×2
Founding MemberOne of the first 500 members.How: Joined AI Lounge in the founding cohort
Founding Member
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Pinned projects
Code for paper RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
An official code for the paper "CASteer: Steering Diffusion Models for Controllable Generation"
adversarial-attacksadversarial-networks
pytorch
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.
Categories
Stack
Experience
AI researcher, PhD candidate
AI Research Intern · Huawei Technologies Research & Development (UK) Ltd
Demonstrator · Queen Mary University of London
Data & AI Scientist · Philips
Teaching Assistant · Yandex School of Data Analysis
HR
AI Researcher · Huawei Russian Research Institute
SRE Intern · Google
LO
AI Research Assistant · Laboratory of Methods of Big Data Analysis (HSE national university)
Head, Main Methodologist and Lecturer · Deep Learning School
Education
Queen Mary University of London
Moscow Institute of Physics and Technology (State University) (Mipt)
Yandex School of Data Analysis
Moscow Institute of Physics and Technology (State University) (Mipt)