Dakota Murray

Doctoral Candidate in Informatics

Indiana University


I’m a computational social scientist studying the social and epistemic dynamics of the global scientific ecosystem. To do so, I leverage neural-network based representation learning to construct simplified embeddings of bibliometric and social networks.

I am currently pursuing a PhD at Indiana University Bloomington in the department of Informatics, Computing, and Engineering. I have been fortunate enough to be advised by Dr. Cassidy Sugimoto and am currently working as a research assistant on the Minerva-funded Sciecne Genome project under the supervision of Ahn Yong-Yeol. Apart from work, I enjoy running, cooking, traveling, and reading science fiction.


  • Science of Science
  • Computational Social Science
  • Data Science
  • Representation Learning


  • PhD in Informatics, 2021

    Indiana University

  • BSc in Computer Science, 2016

    Appalachian State University

Recent Posts

Embedding graphs with Laplacian Eigenmaps

Graph laplacian eigenmaps (GLE) are one means, among many, of embedding graphs into a low-dimensional numeric space. Specifically, GLE …

Recent Publications