I am an evolutionary biologist with a robust computational background, focused on advancing our understanding of complex biological systems. My research specializes in developing and applying algorithms to investigate morphogenesis and evolutionary dynamics. With expertise in simulation design, high-performance computing, and interdisciplinary collaboration, I address fundamental questions about the mechanisms driving biological diversity and complexity.
Cell signaling stabilizes morphogenesis against noise
Hagolani PF, Zimm R, Marín-Riera M and Salazar-Ciudad I Development, 2019.
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On the evolution and development of morphological complexity: a view from gene networks
Hagolani PF, Zimm R, Vroomans R and Salazar-Ciudad I PLoS Comput Biol, 2021.
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Bounding phenotype transition probabilities via conditional complexity
Dingle K, Hagolani PF, Zimm R, Umar M, O'Sullivan S, Louis A Journal of The Royal Society Interface, 2025.
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Pleiotropy accelerates tooth phenotypic and genomic evolution — An in silico study under the lens of development"
Hagolani PF, Sémon M, Beslon G, Pantalacci S biorxiv, 2025.
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