Dan is a Mathematics and Economics (BSc) graduate from the University of Bristol, where he served as a research assistant under Professor Sidharth Jaggi. Currently, he is a research assistant in the Department of Computer Science at the National University of Singapore. Dan's research interests primarily lie at the intersection of information theory and machine learning. He has worked on various problems within information theory and coding theory, including group testing and adversarial channels with feedback. Additionally, he is keenly interested in reinforcement learning and bandit algorithms, seeking to deepen his knowledge in these areas. Dan’s diverse background equips him with a strong foundation to explore innovative solutions in these rapidly evolving fields.