David Dinkevich

I’m a Machine Learning researcher and MSc student at the Hebrew University of Jerusalem, where I work under the supervision of Prof. Dani Lischinski. My research focuses on generative models for images and video.

My current work centers on diffusion-based visual world models—systems that represent and simulate environments with applications in visual planning, animation, and AI-driven creativity. I am particularly interested in autoregressive video diffusion models, and in methods for generating long-duration, high-quality video efficiently.

I have experience modifying the internals of existing models—for example, my thesis explores adapting attention mechanisms in transformer-based image models to improve character consistency across frames.

My resume is available here.