Danai Koutra
Amazon Scholar at University of Michigan
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolDanai Koutra is an Amazon Scholar and Associate Professor at the University of Michigan with a decade of experience studying large-scale graphs and the processes they encode. Her research blends node- and graph-level similarity methods with pattern mining—graph summarization, anomaly detection, and event discovery—to turn complex network data into actionable insights. She holds a PhD from Carnegie Mellon and has a track record of academic leadership as Associate Director for MIDAS, bridging data science research and institutional impact. Known for tackling both theoretical and applied problems, she collaborates across industry and academia, bringing rigorous graph algorithms to real-world systems at Amazon and beyond.
11 years of coding experience
6 years of employment as a software developer
Diploma, Electrical and Computer Engineering; Computer Science, Diploma, Electrical and Computer Engineering; Computer Science at National Technical University of AthensPhD, Computer Science, PhD, Computer Science at Carnegie Mellon University
English, Greek, French, Spanish
Github Skills (16)
representation-learning10
matrix-factorization10
entity-resolution9
dbpedia9
summarization8
gnn8
scalability8
graph7
knowledge-graph5
error-detection5
classification3
evaluation3
microbiome1
graph-database1
bacteria1
Programming languages (2)
Github contributions (5)
GemsLab/node2bits
Jun 2019 - May 2020
Compact time- and attribute-aware node representations
Contributions:7 commits, 6 pushes, 1 branch in 10 months
representation-learningtemporal-networksdynamic-network-embeddinguser-stitchingentity-resolution
GemsLab/HashAlign
Apr 2017 - May 2020
Contributions:8 commits, 7 pushes, 1 branch in 3 years 1 month
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