Yuliang Yan (闫宇量)

Research: Currently, I am a second year PhD student, surpervised by Enyan Dai. My research focuses on AI for Protein, with the goal of building efficient and robust deep learning models to advance protein engineering. I am also dedicated to developing algorithms with rigorous mathematical guarantees for de novo drug design, such as molecular glues and peptides. In addition, my work extends to the development of trustworthy large language models.

Previously: I earned my master’s degree from Fudan NLP Group, Fudan University and my bachelor’s degree in Mathematics from Shanghai University.