Postdoc, Flatiron Institute/Simons Foundation
1 paper at NeurIPS 2025
We consider the problem of learning drift, diffusion and growth rate from snapshot observations of a population of individuals that may divide or die, and propose a novel inference scheme to learn these terms from data.
