Dang Nguyen

Hi, I’m a CS Ph.D. candidate at UCLA under the supervision of Professor Baharan Mirzasoleiman. MMy research focuses on data-centric methods for building efficient and reliable agentic AI systems based on large (vision-)language models. I develop techniques for synthetic data generation and data selection to construct high-quality training signals under limited or noisy data. More recently, I have explored reasoning and decision-making, including test-time scaling, RL training, uncertainty-aware inference, with the goal of enabling reliable multi-step agent behavior in high-stakes settings..

Before joining UCLA, I was an AI Resident at VinAI (now Qualcomm AI). Prior to that, I received my BS degree, summa cum laude, from Toyo University. Going further back in time, I was a graduate of High School for Gifted Students (Hanoi University of Science) and a Maths Olympian (IMO 2015 Silver).