Mengyan Zhang is a postdoctoral researcher at the University of Oxford, working with Prof. Seth Flaxman. She earned her PhD at the Australian National University under the supervision of Dr Cheng Soon Ong. During her PhD, she was affiliated with Data61, CSIRO, and interned at Microsoft Research Asia. Her research interests focus on sequential decision-making in machine learning, including multi-armed bandits and active learning. Mengyan approaches experimental design from both theoretical and practical perspectives, with two primary goals: designing robust algorithms to handle imperfect feedback and understand causal relationships in sequential decision-making, and developing decision-making algorithms to address real-world problems in areas such as synthetic biology, global health, survey design, and public policy.