I am working on developing a practical statistical toolkit for turning 4D whole-cell simulations into biological knowledge. Its core contribution is an interpretable spatiotemporal representation that enables (i) reliable trajectory summaries and phenotype prediction, (ii) transfer from computationally cheaper well-stirred runs to limited 4D regimes, and (iii) intervention-oriented analyses that yield testable hypotheses about medium, kinetic, and network-level perturbations that prevent arrest and support successful completion of the cell cycle.
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