Image: Luyang Fang, Ph.D. candidate in the Franklin College of Arts and Sciences Department of Statistics, develops innovative machine learning algorithms that improve the efficiency and reliability of large language models. Under the mentorship of professors Ping Ma and Wenxuan Zhong, she has pioneered Bayesian Knowledge Distillation (BKD), an advanced method for compressing AI models while quantifying uncertainty in their predictions—critical for deploying AI in healthcare, finance, and autonomous systems. Fang has published in top venues such as the International Conference on Machine Learning and IEEE Transactions on Smart Grid, and her BKD framework has been applied to computer vision and education assessment. She also co-developed MultiCOP, a machine learning tool for microbiome-metabolome analysis, and collaborates on AI-driven research across multiple disciplines. A recipient of multiple Georgia Statistics Day awards, Fang’s work helps shape the future of trustworthy AI and statistical machine learning. Congratulations, Luyang Fang! Type of News/Audience: Departmental
