报告人：Dr. Daokun Zhang (Monash Suzhou Research Institute)
报告时间：2021年12月14日（星期二）09:30 - 10:30
Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade. Various AI techniques have been used in a wide range of applications, such as virtual screening and drug design. In this talk, we first give an overview on drug discovery and discuss AI applications, which can be reduced to two major tasks, i.e., molecular property prediction and molecule generation. We then discuss common molecule representations and benchmark platforms. Furthermore, to summarize the progress of AI in drug discovery, we introduce the relevant AI techniques including model architectures and learning paradigms. This talk is expected to provide some guidance for researchers who are interested in working at the interface of artificial intelligence and drug discovery.
Dr. Daokun Zhang is currently a Lecturer with Department of Data Science & AI, Monash University, and a Research Fellow with Monash Suzhou Research Institute. Prior to that, he was a Postdoctoral Research Associate at The University of Sydney Business School (from June 2019 to April 2021). In November 2019, Dr. Zhang received his Ph.D degree in data science from the University of Technology Sydney, NSW, Australia.