Guadalupe González

I joined Genentech in February 2023. My expertise lies at the intersection of graph deep learning, causal inference, and drug discovery. My work builds on research from my Ph.D. at Imperial College London under the mentorship of Michael Bronstein and Kirill Veselkov. My journey began with leveraging graph deep learning (DL) to uncover molecules from natural products with therapeutic properties. My work was further enriched by collaborating with Marinka Zitnik at Harvard Medical School, focusing on causal graph DL to model biological perturbational data for therapeutic lead discovery. My current ambition extends to broadening the application of causal graph DL to genetic and chemical perturbation data, as well as patient-level data. I previously completed a B.Sc. in Biomedical Engineering and an M.Res. in Data Science.