Overview

Currently working on graph based methods for machine learning and data science. Active learning, knowledge graphs, deep learning, similarity graphs, and subgraph isomorphisms. Also interested in natural language processing, physical science modeling and social science applications. Theoretical background in algorithms is a plus. Large dynamic research group with many graduate students, postdocs, and collaborators.

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