Elena Zheleva

Associate Professor

College of Engineering
Department of Computer Science

Research Interests

My research spans different aspects of data science, including machine learning, causal inference, graph mining, network science, and privacy. My research goal is to unify these aspects in a single framework that allows us to reason better with data and solve important societal problems. I am especially interested in algorithms for heterogeneous graphs and networks, with focus on the following goals:
1) Identify and resolve barriers to causal inference from graph data for real-world applications
2) Improve machine learning models by addressing inherent biases in (found) data
3) Empower people in their privacy choices through personalized privacy assistants
I am motivated by compelling applications, and some of the areas that I study are personalization, social media and networks, psychology, journalism, and e-commerce.

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