This work wouldn't have been possible without my amazing coauthors:

Jonathan Colen @olddominionu.bsky.social
Michel Fruchart @gulliver-lab.bsky.social
Yael Avni @uchicago
David Martin @lptmc
Vincenzo Vitelli @uchicago

Everyone here was at some time part of Vincenzo's incredible group @UChicago

Our model can't say why people make the decisions that they do, nor can we say what decisions are "correct", and there is a lot of room for improvement. But this shows that active fluids can be intelligent fluids. In this case, that fluid comprises people.

With its origins in the work of economist Thomas Schelling, active matter physics, and so many other predecessors, we showed that human populations
(A) can be described by a hydrodynamic equation and
(B) propose and validate one such equation against census data

This short course was spearheaded by Emma, and coorganized by myself, Annie Stephenson, and Guillaume Falmagne

I do my best work in conversation with people, so I wouldn't have been able to do any of this without my collaborators and advisors, who are all, objectively, The Best ❤️

If it thinks and moves -- I'm interested!

Happy to be here and feel free to reach out anytime :)

I've also worked on a number of models of non-reciprocal spin systems, exhibiting "vision-cone" like interactions (10.1088/1742-5468/accce7), or multi-species waves (arXiv:2307.08251) and oscillations (aXiv:2311.05471)

I've also worked on energy dissipation in subcellular structures, most recently in the excitable, mechanochemical oscillations of Xenopus oocytes (rdcu.be/d1wWy)

Most of my postdoc has focused on developing a hydrodynamic theory of human residential dynamics. Combining geographical data analysis, machine learning, and both continuum & agent-based models, we find some interesting universality in the movement of people
arxiv.org/abs/2312.17627