Guadalupe Gonzalez
Senior Machine Learning Scientist II at Genentech
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolGuadalupe Gonzalez is a Senior Machine Learning Scientist with eight years of experience specializing in graph deep learning and causal inference for drug discovery, currently on the Prescient Design team at Genentech/Roche. She holds a PhD from Imperial College London where she applied geometric ML to therapeutic lead discovery, and she has bridged academia and industry through a visiting stint at Harvard Medical School. Guadalupe focuses on causal graph models that span molecular to patient-level data, translating cutting-edge research into cross-functional drug discovery efforts. She’s also a committed advocate for women’s health, leading endometriosis initiatives across Genentech and Roche. Notably, her background blends top-of-class engineering training with hands-on biomedical data analysis, from RNA-seq earlier in her career to state-of-the-art geometric deep learning today.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - Computing, Graph deep learning for therapeutic lead discovery, Doctor of Philosophy - Computing, Graph deep learning for therapeutic lead discovery at Imperial College LondonBachelor's Degree in Biomedical Engineering, Top of the class, Bachelor's Degree in Biomedical Engineering, Top of the class at Universidad Politécnica de Madrid
Spanish, English
Github Skills (17)
bioinformatics9
genomics9
protein-structure8
phylogenetics8
cvs8
sequence-alignment8
python7
biopython6
git-repository6
mass3
mass-spectrometry2
transfer-learning2
drug-discovery1
docking1
pytorch1
Programming languages (3)
Github contributions (5)
ggonzalezp/hyperfoods
Aug 2020 - Feb 2021
Contributions:24 commits, 18 pushes, 1 branch in 6 months
mims-harvard/PDGrapher
Feb 2024 - Dec 2024
Contributions:2 PRs, 29 pushes, 1 branch in 9 months
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