Graph-based AI reveals new paths for drug discovery
Inside Precision Medicine - 09-Sep-2025PDGrapher outperforms rivals in predicting drug targets and combos for complex diseases
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Assistant Professor at Harvard University
I am a postdoctoral research fellow in Computer Science at Stanford University where I work with Jure Leskovec and collaborate closely with major biomedical research departments worldwide. I am also a Chan Zuckerberg Biohub postdoctoral researcher.
My research investigates machine learning for biomedical sciences, focusing on large networks of interactions between biomedical entities--e.g., proteins, drugs, diseases, and patients. I leverage these networks at the scale of billions of interactions among millions of entities and develop new methods blending machine learning with statistical methods and network science.
I use my methods to answer burning scientific questions, such as how Darwinian evolution changes molecular networks, and how data-driven algorithms can accelerate scientific discovery.
Visit website: https://stanford.edu/~marinka/
See alsoDetails last updated 30-Jan-2020
PDGrapher outperforms rivals in predicting drug targets and combos for complex diseases
Zitnik created a new network to describe how different drugs interact with our bodies