Marinka Zitnik is a postdoctoral scholar in Computer Science at Stanford University working with Jure Leskovec and collaborating with friends in the biomedical research departments around the world. She is also a Chan Zuckerberg Biohub postdoctoral researcher.
Her main research area is statistical modeling and analysis of large-scale multimodal data. It has become increasingly common to observe and measure technological, biological, and information data systems at different levels of granularity and from different perspectives. She has developed new machine learning, statistical and network science methods to better understand the organization, structure and dynamics of such complex data systems.
Her work has a wide range of applications of which she focuses on those from biomedicine, health care, genomics, molecular and systems biology. She uses her methods to address high-stake problems in life sciences that lead to impactful outcomes. Predictions made by her methods have helped uncover new biology and have directly contributed to new discoveries in the wet laboratory experiments.
She received a Ph.D in Computer Science from University of Ljubljana in 2015 while also conducting research at Imperial College London, University of Toronto, Baylor College of Medicine, and Stanford University. She obtained a B.Sc. in Computer Science and Mathematics in 2012.