About Gabor Lippner
Institutes, Labs & Research Centers
Combinatorics and Discrete Math Group
Mathematics
Perhaps the fastest growing area of modern mathematics. It has a wealth of real-world applications, especially in computer science, which have greatly contributed to its rapid growth.
Publications:
- Evolutionary dynamics on any population structure (Nature, 2017)Read
- Konigs's line coloring and Vizing's theorems for graphings (Forum Mathematics Sigma, 2016)Read
- Harmonic functions on the lattice: Absolute monotonicity and propagation of smallness (Duke Mathematical Journal, 2015)Read
- Li-Yau inequality on graphs (Journal of Differential Geometry, 2015)Read
- Quantum Tunneling on Graphs (Communications in Mathematical Physics, 2012)Read
Gabor Lippner in the news
March 10, 2021
Understanding Networks: The power to predict pandemics, information spread, and quantum gravity
Dr. Krioukov’s lab recently published two papers in the field of network science. These papers show that (1) the geometry of networks can be elucidated by understanding the network’s latent properties and (2) For networks living in latent space, finding their geometry is possible using a previously known standard called Ollivier Curvature.
Read More 
August 16, 2018
Mathematics professor receives NSF grant to build tools for network analysis
In a world full of networks, understanding them is surprisingly hard. This professor is working on building tools to help.
Read More 
November 3, 2017
Northeastern math professor’s new study models cooperative behavior of animals
Watch the video to learn about the recent study published by Professor Gabor Lippner, who has worked to create a mathematical model to study cooperative behavior among groups of animals. This study has applications that can help understand other behavioral patterns, as well as human interactions related to economic theory.
Read More 
May 23, 2017
Mathematics professor publishes research in Nature
Mathematics professor Gabor Lippner has been researching an evolutionary model that aims to explain cooperative behavior observed in nature.
Read More