We introduce a benchmark using simulated biological systems to evaluate LLMs' scientific discovery capabilities.

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.