Author

Michael Lind Severinsen

University of CopenhagenORCID 0009-0009-3998-7117Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Christy A. HipsleyiD· 2 shared Rasmus NielseniD· 2 shared Stefan SommeriD· 2 shared Gefan YangiD· 1 shared Jacky Kaiyuan LiiD· 1 shared Levi Yoder RaskiniD· 1 shared Morten Akhøj· 1 shared Wang-Jin LimiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

Christy A. HipsleyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintAug 22, 2026

DICAROS: Diffeomorphic Ancestral Shape Reconstruction on Phylogenies

Michael Lind Severinsen, Jacky Kaiyuan Li, Wang-Jin Lim…·Rasmus Nielsen

DICAROS improves ancestral shape reconstruction by modeling shape correlations using diffeomorphic dynamics, outperforming traditional methods on non-symmetric trees.

DOI 10.64898/2026.08.21.746152

imagingdeep learning

𝕏 PostBluesky

Evolutionary BiologySystematic BiologyPeer-reviewedFeb 26, 2026

Diffeomorphic Independent Contrasts for Ancestral Reconstruction of Shapes

Michael Lind Severinsen, Morten Akhøj, Rasmus Nielsen…·Christy A. Hipsley

This paper introduces DICAROS, a method for ancestral shape reconstruction that outperforms existing methods by combining LDDMM and Felsensteins Independent Contrasts, and applies it to swallowtail butterflies.

1 citationtop 4%

spatial transcriptomicsdeep learning

𝕏 PostBluesky