For cells to divide, they must undergo mitosis: the process of spatially organizing their copied DNA (chromosomes) to precise locations in the cell. This procedure is carried out by stochastic components that manage to accomplish the task with astonishing speed and accuracy. Recent experimental advances from collaborators with NY State Department of Health provide 3D spatial trajectories of every chromosome in a cell during mitosis. Can these trajectories tell us anything about the mechanisms driving them? The structure and content of this cutting-edge data makes applying common particle trajectory and classical data science ideas difficult to apply. I will discuss progress on developing data science tools for this data and mathematical modeling of emergent phenomena.