Gilad Turok

Hi , I’m Gilad. I’m a Computer Science PhD student at Cornell University , supported by the NSF Graduate Research Fellowship. I am fortunate to work with Professors Volodymyr Kuleshov and Chris De Sa.

I’m broadly interested in probabilistic machine learning :

• Generative models: LLMs, diffusions, flows
• Probabilistic foundations: sampling, inference, measure transport
• Applications: AI4Science and ML systems

My current research focuses on diffusion language models for parallel, controllable, & any-order text generation. I design principled methods for their training and inference.

Previously, I’ve interned at Adobe Research and Uber. Before grad school, I spent two wonderful years at the Simons Foundation’s Flatiron Institute with Bob Carpenter. Before that, I graduated from Columbia University with a BA in Applied Mathematics.

Reach out if you’d like to collaborate or just chat!

I’m seeking a summer 2027 research internship. Please contact me if there’s a good fit.