Markel Benito Sendin

Markel Benito Sendin is a PhD candidate in the Molecular Machine Learning team. Originally from the Basque Country in northern Spain, he obtained a BSc in Biochemistry from the University of Navarra (Spain) and an MSc in Bioinformatics from Utrecht University (the Netherlands). His research focuses on developing a ML–guided framework for the de novo design of hybrid macrocyclic peptides with therapeutic potential, combining deep learning and directed evolution to accelerate drug discovery.