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dang nguyen toggle navigation about current publications cv ctrl k dang nguyen hi i m a cs ph d candidate at ucla under the supervision of professor baharan mirzasoleiman my 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 long horizon agents 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 news jun 15 2026 i join adobe as an applied scientist intern may 26 2026 our paper why is a b better than b a simple graph perspective on task transfer is accepted to the fogen workshop at icml 2026 apr 30 2026 our paper data selection for fine tuning vision language models via cross modal alignment trajectories is accepted to icml 2026 jan 26 2026 our paper do we need all the synthetic data targeted image augmentation via diffusion models is accepted to iclr 2026 jun 23 2025 i have officially advanced to ph d candidacy looking forward to the next stage of my research journey copyright 2026 dang nguyen powered by jekyll with al folio theme hosted by github pages photos from unsplash