Danai Koutra is a final-year Ph.D. candidate at the Computer Science Department at Carnegie Mellon University. Her research interests include large-scale graph mining, graph similarity and matching, graph summarization, and anomaly detection. Danai’s research has been applied mainly to social, collaboration and web networks, as well as brain connectivity graphs. She holds 1 “rate-1” patent and has 6 (pending) patents on bipartite graph alignment. Danai has multiple papers in top data mining conferences, including 2 award-winning papers, and her work was covered by popular press, such as MIT Technology Review. She has also worked at IBM Hawthorne, Microsoft Research Redmond, and Technicolor Palo Alto/Los Altos. She earned her M.S. in Computer Science from CMU 2013 and her diploma in ECE at the National Technical University of Athens in 2010.