WISE (online) Lunchtime Talk by Francesca Grisoni
DateTuesday November 22, 2022 from 12:30 PM to 1:30 PM
Phone040 247 4290
“Learning the ‘chemical language’ with AI for drug discovery”
With great pleasure we would like to invite you to join our monthly WISE Lunchtime talk which will take place on Tuesday, 22 November 2022.
About the session “Learning the ‘chemical language’ with AI for drug discovery”: Artificial intelligence (AI) in the form of deep learning is fueling science, e.g., to predict protein structure, advance mathematics and investigate galaxies. Computer-aided drug discovery has particularly befitted from this recent AI renaissance. My talk will focus on ‘chemical language models’ (CLMs), a particularly successful instance of deep learning for drug discovery. CLMs borrow natural language processing approaches and adapt them to learning the ‘language of chemistry’, to generate molecules with desired biological properties from scratch.
How to attend: Please register in advance for this lunch session by sending an email to: Wise-network@. tue.nl
After registration, you will receive a link via Teams to participate in this online meeting.
Bio: Francesca Grisoni is an Assistant Professor at the Eindhoven University of Technology (Dept. Biomedical Engineering, Institute for Complex Molecular Systems and Eindhoven Artificial Intelligence Systems Institutes), where she leads the Molecular Machine Learning team. Her team’s research focuses on developing novel artificial intelligence methods for drug discovery, at the interface between computation and experimental validation. After receiving her PhD in 2016 at the University of Milano-Bicocca in the group of Roberto Todeschini, Francesca has worked as a biostatistical consultant for the pharmaceutical industry. In 2019, she joined the group of Prof. Gisbert Schneider at ETH Zurich as a postdoctoral researcher, working on chemical language models for molecule design. Her current research focuses on how to leverage AI in drug discovery, to augment human intelligence and reach ‘better decisions faster’.