This Dean's Distinguished Lecture is part of the CS Graduate Seminar.
Abstract
AI has become a driving force for new scientific discovery. In this talk I will present our recent work in generative AI for sub-seasonal weather forecast, drug design and molecular modeling, where we outperformed state-of-the art prediction accuracy with dramatic reduction in computational resources. These works demonstrate the importance of the integration of AI with scientific problems and its transformative potential in both theoretical and practical applications.
Brief Biography
Dr. Qi is chair professor of Fudan University, Director of Shanghai Academy of AI for Science, Director of AI3Institute of Fudan, former chief AI scientist of Ant Group and Vice President of Alibaba Group. His research interests lie in foundation models, deep learning, Bayesian inference, and various AI applications in solving scientific and industrial problems. He obtained PhD from MIT in 2004 and worked as research fellow at MIT CSAIL and Whitehead Institute. He was tenured in CS and Statistics Departments of Purdue University, and served as visiting professor/Scholar at Columbia University, Duke University, Brown University, Cambridge University and UCL. From 2014 to 2021, as Chief AI Scientist of Ant Group and DAMO Academy of Alibaba Group, he developed the Platform of AI (PAI) for Alibaba Cloud, super large-scale graph neural network platform, and privacy-preserving machine learning systems. He applied AI technologies to various financial applications including risk management, credit scoring, intelligent insurance claims, chatbots and intelligent customer services. In 2021 he joined Fudan University and founded AI innovation institute; in 2023 he founded Shanghai Academy of AI for Science (SAIS). He served as associate editor of Journal of Machine Learning Research, area chairs and committee members of top AI and computational biology conferences such as ICML, NeurIPS, UAI, AISTATS, and ISMB. His work has been reported by MIT Technology review, and Economist and innovation cases in Harvard Business School. He received Newton Research Breakthrough Award from Microsoft Research in 2008, and the NSF CAREER award in 2011, and the outstanding researcher and practitioner award from Chinese Association for AI in 2021.
