Marinka Zitnik is an Associate Professor of Biomedical Informatics at Harvard Medical School, Associate Faculty at the Kempner Institute for the Study of Natural and Artificial Intelligence, Associate Member of the Broad Institute of MIT and Harvard, and Affiliated Faculty at the Harvard Data Science Initiative. Her research focuses on the foundations of artificial intelligence for scientific discovery, genomic medicine, and therapeutic design.
Her lab develops machine learning methods and foundational AI systems that integrate heterogeneous biomedical data and incorporate geometry, structure, symmetry, and scientific knowledge. Her research spans geometric deep learning, graph neural networks, multimodal learning, knowledge graphs, large pre-trained models, and contextually adaptive AI, with applications in network biology, individualized diagnosis and treatment, and drug discovery. A central goal of her work is to develop AI systems capable of reasoning over complex biological systems and generating actionable, generalizable insights for medicine and science.
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