Dao Tran is a PhD Candidate in Computer Science at the University of Sydney, working on Machine Learning and Optimization. His research focuses on Automatic Algorithm Design, Neural Combinatorial Optimization, and the use of Large Language Models for developing adaptive and generalizable optimization methods. He is particularly interested in building intelligent optimization systems that can learn, reason, and improve algorithmic decisions across different problem domains.
Distributed compUting, optimizAtion, and Learning (DUAL) group at USyd
Distributed compUting, optimizAtion, and Learning (DUAL) group at USyd