Ziad El Malki

Ziad El Malki is a PhD candidate in the Molecular Machine Learning team and a Marie Skłodowska-Curie Fellow within the “LowDataML” Doctoral Network. He holds a B.Sc. in Chemistry and Chemical Engineering and an M.Sc. in Molecular and Biological Chemistry from EPFL. During his master’s, he worked on computer-aided synthesis planning, as well as enhanced-sampling molecular dynamics. His PhD research focuses on developing few-shot deep learning methods for de novo drug design.