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.
Clinical risk scores can cheat the AUC when the time that an adverse event occurs in a positive-class stay tends to exceed the duration of a negative-class stay. Risk scores should be compared to uniformly random scores that match their timing.
My latest paper introduces the concept of critical numerosity: A number of individuals above and below which the behavior of a collective qualitatively differs.
This post explains how the Markov chain dichotomy of transience and recurrence implies dichotomous behavior for certain models of collective motion.