People

Caroline Parins-FukuchiT.C. Chamberlin Postdoctoral Fellow

Research Focus:
Evolution, paleontology
Email:
parinsfukuchi@uchicago.edu
Office:
Hinds

Biography

Ph.D., Ecology and Evolutionary Biology, University of Michigan

Research Interests

I am a computational evolutionary paleobiologist seeking to understand the origins of phenotypic novelty. My research program tackles the evolutionary patterns and processes underlying the generation of novel anatomical and ecological functions through the analysis of developmental, morphological, and molecular data over deep timescales. To address these questions, I develop new statistical and computational approaches to interrogate data spanning both living and fossil species to uncover the complex evolutionary drivers of novel morphologies and ecologies. My empirical research is most focused on living and fossil primates, although I also maintain collaborations involving other taxa. By displaying a vast diversity of locomotor habits, life histories, and musculoskeletal morphotypes, the primates are an excellent group from which to gain an understanding of the biological processes that drive the emergence of new forms in the fossil record. Generally, I aim to take a broad approach, combining computational developments and advances in empirical knowledge with the development of new theory to better understand the emergence of phenotypic complexity and its evolutionary and developmental foundations.

Selected Publications

C Parins-Fukuchi. In revision. Character integration, preadaptation, and the evolution of evolvability in apes. BioRxiv: 10.1101/622134

C Parins-Fukuchi. In press, American Naturalist. Detecting mosaic patterns in macroevolutionary disparity. BioRxiv: 10.1101/423228

C Parins-Fukuchi, Greiner, E., MacLatchy, L.M., Fisher, D.C. 2019, Paleobiology. Phylogeny, ancestors, and anagenesis in the hominin fossil record. DOI: 10.1017/pab.2019.12

C. Parins-Fukuchi. 2018, Evolution. Bayesian placement of fossils on phylogenies using quantitative morphometric data. DOI: 10.1111/evo.13516