Chien Van Nguyen

I am a PhD student in Computer Science at the University of Oregon, advised by Prof. Thien Huu Nguyen. Prior to starting my PhD, I spent two wonderful years at VinAI Research (now Qualcomm AI Research) as an AI Resident.

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 also had the opportunity to work as a Student Researcher at Google DeepMind and as a Research Scientist Intern at Adobe Research.