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Mission Statement

The mission of the NCSU cluster in Quantitative and Computational Developmental Biology is to address fundamental questions in animal and plant development through interdisciplinary collaborations between biologists, physicists, mathematicians, engineers and other researchers. The cluster also facilitates training in quantitative and computational approaches to cellular and developmental biology research, and promotes awareness of the cutting edge science and scientists in this emerging field.

Recent Publications

Lee, JB, Caywood, LM, Basinger, R, Abbott, L, Levering, N, Keung, AJ (2026). Epigenome regulators imbue a single eukaryotic promoter with diverse gene expression dynamics. iScience 29, 115805. PubMed PMID:42111206.

Mao, H, Mauny, H, KanchanadeviVenkataraman, O, Laplante, C, Xu, DD, Zhang, Y (2026). SIMBA: an agentic AI platform for single-molecule multidimensional imaging. bioRxiv , . PubMed PMID:42079268.

Gordon, M, Akyol, TY, Amos, B, Andersen, SU, Williams, C (2026). KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model. BioData Min 19, 18. PubMed PMID:41715111.

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