Christopher W. Lynn
JSMF and CPBF Postdoctoral Fellow
See new lab website:Â lynnlab.yale.edu
I'm interested in understanding the statistical physics of emergence and information processing in complex systems. Naturally, this leads to investigations of the brain, an enormously complex system capable of impressive feats of cognition. To distill this complexity, I build upon ideas from information theory, statistical mechanics, and network science.
I'm a JSMF and CPBF postdoctoral fellow under the supervision of William Bialek, Stephanie Palmer, and David Schwab at Princeton and CUNY. Previously, I received my PhD in physics at the University of Pennsylvania, where I was advised by Dani Bassett.
For more information, see Twitter, Google scholar, or GitHub.
Recent news:
10/22 | New on arXiv: Emergent scale-free networks
10/22 | Out in Nat Phys: Citation inequity and gendered citation practices in contemporary physics
Featured in Science
9/22 | Out in Phys Rev Lett: Decomposing the local arrow of time in interacting systems
9/22 | Out in Phys Rev E: Emergence of local irreversibility in complex interacting systems
Selected as an Editors' Suggestion
8/22 | Out in PNAS: Optimizing the human learnability of abstract network representations
5/22 | New on bioRxiv: Heavy-tailed neuronal connectivity arises from Hebbian self-organization