Cory Glover, M.S.

Network Scientist • Mathematician • Data Scientist

My research applies network science to uncover the organizing principles behind the complex systems that shape our world. From transportation and social media to ecology and Broadway productions, networks are everywhere—and I use tools from mathematics, statistical physics, and computer science to model them, analyze their structure, and reveal hidden patterns. My most recent work introduced a new metric for networks with physical constraints, published in Physical Review Letters, selected as an Editor’s Suggestion, and featured in their Best of 2024 collection.

Currently, I am seeking a postdoctoral position for 2026. I earned an MS in Network Science from Northeastern University in 2025, and an MS and BS in Mathematics from Brigham Young University in 2021 and 2019, respectively.

April 2025 - Dissertation Proposal Accepted

I successfully proposed my dissertation, From Local Rules to Global Structures: Entanglement, Design, and Reconstruction in Complex Networks, to my PhD committee. A special thank you to my committee members, Albert-László Barabási, Brennan Klein, Gabor Lippner, and Márton Pósfai. The projects involved in my dissertation can be found under projects. Feel free to reach out if you would like a recording of my proposal.

March 2025 - APS Global Physics Summit

I presented our recently published work, Measuring Entanglement in Physical Networks, at the annual APS Global Physics Summit. This presentation was included as a talk in the focus session Network Theory and New Materials.

January 2025 - Invited JMM Talk

I was invited to speak on work from my masters thesis in mathematics at the 2025 Joint Mathematics Meetings. I spoke on my paper Some Spectral Properties of Non-Backtracking Random Walks written jointly with my masters advisor, Dr. Mark Kempton.

December 2024 - Included in PRL Collection of the Year 2024

I am honored to announce that my recent publication, Measuring Entanglement in Physical Networks, was chosen to be included in PRL's Collection of the Year 2024. Every year PRL publishes between 2000-2500 papers. Of these, 60 were chosen to be included in this year's collection. Thank you to the editors for recognizing our work in this manner.

October 2024 - SIAM Conference on the Mathematics of Data Science

I presented two posters this year that the SIAM Conference on the Mathematics of Data Science. One poster presented the work of our recent PRL publication, Measuring Entanglement on Physical Networks. The second presented preliminary findings unveiling the biases of state-of-the-art methods used to reconstruct networks from node-level time series data.

August 2024 - New Publication and Editors' Suggestion

This month my advisor, Albert-László Barabási, and I published our new findings on physical networks in Physical Review Letters. I am honored to announce we were included as an Editors' Suggestion for this issue. Thank you to the editors for highlighting our work.

In this work, we define a new metric for measuring entanglement in physical networks. Entanglement in physical networks is the manner which links push and wrap around each other as they form connections. Our new metric is significantly faster than previous methods and is analytically tractable. From our derivations, we derive that entanglement is driven by density, link length, degree heterogeneity, and community structure.

July 2024 - NetSci 2024, Quebec City, Canada

I gave a talk at this year's NetSci International Conference on Network Science. I presented work on our upcoming paper, Measuring Entanglement in Physical Networks, which will be published soon in PRL.