Machine Learning for Drug Discovery

[CFAR Rising Star Lecture Series]
Machine Learning for Drug Discovery by Professor Sungsoo Ahn
27 Jun 2022 | 3:00pm (Singapore Time)

Drug discovery is a very time-consuming and expensive process. For example, developing a new drug takes around ten years and could cost $2.5B. Recently, machine learning researchers have explored a way to accelerate such a process by automatically discovering (1) new molecules as drug candidates and (2) reaction pathways to synthesize the proposed molecule. 

In this talk, Prof Sungsoo Ahn will introduce the research progress of this area along with his recent works to tackle the main challenges.

SPEAKER
Sungsoo Ahn, Asst Prof, Graduate School of Artificial Intelligence
Professor Sungsoo Ahn 
Assistant Professor, Department of Computer Science and Engineering and Graduate School of Artificial Intelligence
Member, Machine Learning Lab at POSTECH


Prof Sungsoo Ahn is an Assistant Professor in the Department of Computer Science and Engineering and Graduate School of Artificial Intelligence, and a member of the Machine Learning Lab at POSTECH. He published his works in many top-tier machine learning venues such as ICLR, ICML, and NeurIPS. His recent research revolves around developing machine learning algorithms to solve design problems and handle graph-structured data. For example, he is particularly interested in new algorithms to propose new drug candidates using molecule-generating graph neural networks.

Click here to register.