Assistant Professor, Global Institute of Future Technology (GIFT), Shanghai Jiao Tong University

Research Area: Computational Biology, Generative Modeling, Synthetic Biology, Drug Discovery

Award Citation: The AYSF Committee acknowledges his contribution to AI-driven drug discovery, developing novel deep learning models for molecular representation, and natural product biosynthetic pathway discovery, and would like to support his groundbreaking research, which bridges target-based and phenotype-based approaches through multi-scale biomedical knowledge integration and generative AI.

Bio: Shuangjia Zheng is an Assistant Professor at the Global Institute of Future Technology (GIFT), Shanghai Jiao Tong University. His research interests are broadly at the intersection of applied machine learning for problems in biology, chemistry, and medicine, with a particular interest in the discovery and design of novel therapeutic biomolecules. He earned his Ph.D. in Computer Science at Sun Yat-sen University and served as a visiting scientist at MIT and Harvard. His work has been published in prestigious journals such as Nat. Mach. Intell, Nat. Biomed. Eng., Nat. Commu. and presented at leading conferences like NeurIPS, KDD and AAAI. His work has been recognized by numerous awards, including the Young Elite Scientists Sponsorship by CAST, Forbes 30 Under 30 Asia, the WAIC Rising Star Award, the RayWu Fellowship, the Baidu Scholarship, and the WAIC Youth Best Paper Award.

Personal Web: https://zhenglab.sjtu.edu.cn/