Danai Koutra
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Danai Koutra is a Greek and American computer scientist. Her reseach applies machine learning and data mining to graph-theoretic data, including the use of graph neural networks and graph matching, and applications to anomaly detection and automatic summarization. She is an associate professor in the Computer Science and Engineering Division at the University of Michigan, and head of the Graph Exploration and Mining at Scale (GEMS) Lab, with an additional affiliation in the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics.[1]
Koutra has a 2010 degree in electrical and computer engineering from the National Technical University of Athens. She completed a Ph.D. at Carnegie Mellon University in 2015.[2] Her dissertation, Exploring and Making Sense of Large Graphs, was supervised by Christos Faloutsos.[3]
She became an assistant professor at the University of Michigan in 2015,[2] and was named as a Morris Wellman Faculty Development Professor in 2020.[4]