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Jacob Calvert

I’m interested in collective behavior, which I study using probability theory and data science. Lately, I’ve been working on a principle of nonequilibrium self-organization and investigating how the behavior of a collective depends on the number of its constituents.

I’m a postdoctoral fellow at Georgia Tech and a visiting postdoctoral fellow at the Santa Fe Institute. I spent Spring 2025 as the Berlekamp postdoctoral fellow at the Simons Laufer Mathematical Sciences Institute in Berkeley, CA.

For details on my academic background and experience as a professional data scientist, see my CV or About. For more on my research, check out my Google Scholar profile, Papers, or Posts.


A third rigorous result about DLA

This post highlights recent work which constitutes only the third rigorous result about planar diffusion-limited aggregation (DLA), a paradigmatic model of random, dendritic growth.

A conjecture about harmonic measure

Given finite $A \subset \mathbb{Z}^2$, the harmonic measure of $x \in A$ is the probability that a simple random walk “from infinity” first visits $A$ at $x$. If $A$ has $n$ elements, what is the smallest positive harmonic measure that you can get?

Numerosity-driven phase transitions

This post discusses the intersection of some of my recent and forthcoming work in probability theory with studies of programmable matter and ant colonies.