The Center for Computational Evolutionary Morphometry (CCEM) at the University of Copenhagen brings together leading experts from evolutionary biology, computer science, and mathematical modelling to further our understanding of organismal change through time. We wish to gain phylogenetic information from observed phenotypes through advance stochastic shape analysis, enabling the computational modelling of morphological evolution.
By way of this cross-disciplinary collaboration that combines modern infinite dimensional shape analysis, stochastic shape modelling and phylogenetic inference, we aim to identify evolutionary trends across the Tree of Life, revealing hidden patterns of biodiversity and kinships between species.
News
Activities
- Christy Hipsley and Stefan Sommer will organise a specialised PhD course “Geometric Morphometrics in R” for the PhD School at Faculty of SCIENCE, University of Copenhagen on 7-12 August 2024
- On 23 November 2023, Morten Akhøj Pedersen and Liwei Hu defended their PhD theses: Morten with the title “Riemannian and sub-Riemannian methods for dimension reduction” (INRIA Sophia-Antipolis), and Liwei with the title “Research on Deep Learning Method for Joint Modeling of Aerodynamic Layout and Flight Status Features” (University of Electronic Science and Technology of China)
- Fall 2023: Stefan Sommer and Michael Lind Severinsen on research stay at UC Berkeley
- June 2023: Elizabeth Baker, Sofia Stroustrup, Stefan Sommer, gave two oral and one poster presentation at Nordstat2023, Chalmers University of Technology, Sweden – Elizabeth winning best paper prize during the poster session.
- January 2023: CCEM and Stochastic Morphometry featured in Ingeniøren
- July 2022: CCEM hosted the Math on Long Island workshop.
- June 2022: Marcus Teller defended his MSc thesis “Phylogenetic Dimensionality Reduction in Non-linear Geometries“.
- June 2022: CCEM hosted the Workshop on Stochastic Morphometrics. Recorded talks are made available on the workshop link
- April 2022: Patrick Hartvigsen and Rasmus Nielsen defended their MSc thesis “Images segmentation of butterfly wings using U-Net: Transforming butterfly wings into SDFs for shape analysis“.