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莫纳什大学 张道坤研究员 11月5日上午学术报告
发布时间:2021-10-29 点击:10

报告人张道坤研究员莫纳什大学

报告题目Artificial Intelligence in Drug Discovery: Applications and Techniques

报告时间:2021115日上午10:00

报告地点:910-308

 

报告摘要:

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.

 

 

 

个人简介 :

 

张道坤博士,现任莫纳什大学数据科学与人工智能系讲师,莫纳什苏州研究院研究员。 20196月至20214月,于悉尼大学商学院任博士后研究助理。 201911月,于澳大利亚新南威尔士州悉尼科技大学获得数据科学博士学位。

  

  

联系人:刘坚 教授



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