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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

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.

Thayambath, A, Belmonte, JM (2026). Start small: A model for tissue-wide planar cell polarity without morphogens. PLoS Comput Biol 22, e1013938. PubMed PMID:41678596.

Mahoney, T, Needham, C, Hakeem, R, Begley, M, Medina, CP, Elting, MW (2026). Spindle biochemistry responds to compressive force from the nuclear envelope to tune spindle dynamics during closed mitosis. bioRxiv , . PubMed PMID:41648176.

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