Meng Fang

Dr. Meng Fang is a researcher specializing in Artificial Intelligence with a focus on Reinforcement Learning, Large Language Models, and their applications in medical QA, game theory, and causal inference. Their work combines technical innovation with practical problem-solving in safety-critical and domain-specific contexts.

• Key research areas: Social bias in AI, data augmentation, embodied agents, and model-based reinforcement learning

Teaching: Coordinated module COMP532 - Machine Learning and BioInspired Optimisation (2024-25).

Recent publications address challenges in offline RL robustness, vision-based safe reinforcement learning, and strategic game generalization.