Chien Van Nguyen

I am a PhD student in Computer Science at the University of Oregon, advised by Prof. Thien Huu Nguyen.

My research focuses on efficient and scalable generative modeling, particularly for Large Language Models (LLMs). I am interested in developing novel model architectures, training paradigms, and inference algorithms that improve computational efficiency, long-context modeling, and reasoning capabilities. More broadly, my goal is to advance foundation models that scale effectively with compute and data across both training and deployment.

During my PhD, I have worked as a Student Researcher at Google DeepMind and a Research Scientist Intern at Adobe Research. Previously, I spent two years as an AI Resident at VinAI Research (now Qualcomm AI Research).