The UvA institutes for astronomy (API), biology (IBED), chemistry (HIMS), informatics (IvI), life sciences (SILS) and physics (IoP) have taken the initiative for a new 'AI4Science' lab. The lab’s aim is to solve scientific data problems with modern machine learning approaches. Dr Bernd Ensing of the HIMS Computational Chemistry group is scientific director together with Prof. Joris Mooij of Mathematical Statistics (Informatics Institute).
The new AI4Science lab starts off this month, by appointing Dr Patrick Forré as its lab manager and as an assistant professor at the Informatics Institute.
The initial focus of the AI4Science lab will be on five projects from completely different fields: understanding radio phenomena, chemical structures, bird migration, gravitational waves and gene regulation networks. But even though these projects cover a wide range of scientific fields, the underlying research question the AI4Science lab aims to answer is basically always the same: How can we detect, classify, and predict relevant patterns in scientific data if they are hidden within large amounts of non-relevant data? AI4Science is embedded within the Amsterdam Machine Learning lab (AMLab).
One of Patrick Forré’s first tasks will be to hire five PhD candidates who each will focus on one of the five initial research projects within the AI4Science lab.