Kyle R. Chickering’s Homepage

Broadly speaking I am interested in (a) improving the statistical and computational efficiency of deep learning models, especially LLMs and VLMs (b) generative modeling, especially diffusion modeling, and (c) how LLMs / VLMs acquire and access knowledge.

I have worked in industry as a research engineer and machine learning engineer helping to build generative foundation models for video. More recently I helped establish the research efforts at a small R&D startup building efficient algorithms for computer-vision based generative models.

During my masters degree I was working in shock formation for analytic fluid mechanics (partial differential equations). Before that I was in software engineering working on automation and computer vision.

🐙 GitHub

🔗 LinkedIn