Guadalupe is a machine learning scientist at Roche, in the Prescient Design team. She focuses on developing deep learning methods for a range of tasks within the drug discovery pipeline. She has previous experience on target discovery, and disease characterization. At Prescient, her focus is primarily on developing general deep learning methods for various tasks including molecule design, mode-of-action prediction, and structure elucidation from mass spectrometry data.