Christoffer Mattsson Langseth

Computational Biologist · Stockholm, Sweden christoffer.langseth@gmail.com · +46 709 105 057

Profile

Computational biologist specializing in single-cell omics, spatial transcriptomics, and image-based analysis. Expert in dissecting cellular/molecular states in complex tissues with a focus on neuroinflammation. Recipient of a 3M SEK Hjärnfonden grant.

Experience

Postdoctoral Researcher | Karolinska Institutet (Castelo-Branco Lab)

2024 – Present

Grant Recipient: Awarded the Hjärnfonden Postdoctoral Fellowship (2025/2026)—a 3,000,000 SEK grant to investigate molecular mechanisms in neuroinflammation, with a particular focus on metabolic and mitochondrial alterations.
Teaching the first year Medical students in the course Basic Science

Co-Founder & CTO | Spatialist

2023 – Present

Consulting for academia and industry on single-cell and spatial omics strategy.
Developing customized computational workflows for spatial data analysis.

Graduate Researcher | Stockholm University

2018 – 2023

Developed spatial omics methodologies (HybISS) and analysis pipelines.
Led integrative studies on human cortical architecture and CNS neuroinflammation.

Teaching & Mentorship

Postdoctoral Teaching | Karolinska Institutet

Biochemistry (1BI051, Biomedicine): Organized and led advanced seminars on Glycolysis & Gluconeogenesis and Glycogen Metabolism.
Basic Science 2 (2LA001, Medicine): Tutored cell biology exercises and mentored medical students in scientific communication; served as a formal examiner for poster presentations.

Educational Outreach

Inspirational Lecture Series: Annual guest lecturer for high school students in medical specialization tracks, focusing on career paths in medical research and computational biology (Åva Gymnasium).

PhD Teaching | Stockholm University

Biochemistry I (KB2003): Teaching Assistant for laboratory exercises and delivered lectures on fundamental biochemical molecules and reactions.

Education

PhD, Biochemistry (Bioinformatics) · Stockholm University (2023)
MSc, Biology (Cell & Molecular Biology) · Uppsala University

Publications

2026

Langseth, C.M., Hervé, B., Piechaczyk, H. P., Lor, Y. K., Sun, T. & Castelo-Branco, G. KaroSpace: a rapid-access framework for interactive exploration of multi-sample spatial omics data. (2026). doi:10.64898/2026.03.10.710790

2025

Salas, S.M., Kuemmerle, L.B.*, Langseth, C.M.*, et al. (2025). Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows. Nat. Methods. [doi:10.1038/s41592-025-02617-2]

2024

Langseth, C.M.*, Kukanja, P.*, et al. (2024). Cellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology. Cell 187, 1990–2009.e19. [doi:10.1016/j.cell.2024.02.030]
Wernersson, E., et al. [incl. Langseth, C.M.] (2024). Deconwolf enables high-performance deconvolution of wide-field fluorescence microscopy images. Nat. Methods 21, 1245–1256.
Jonghe, J.D., et al. [incl. Langseth, C.M.] (2024). scTrends: A living review of commercial single-cell and spatial ’omic technologies. Cell Genom. 4, 100723.
Lee, H., Langseth, C.M.*, Salas, S.M.*, Sariyar, S.*, et al. (2024). Open-source, high-throughput targeted in situ transcriptomics for developmental and tissue biology. Development 151. [doi:10.1242/dev.202448]

2023

Li, X., et al. [incl. Langseth, C.M.] (2023). Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin. Nat. Neurosci. 26, 1–11.
Long, B., Miller, J., Consortium, T.S., & Langseth, C.M. (2023). SpaceTx: A Roadmap for Benchmarking Spatial Transcriptomics Exploration of the Brain. arXiv. [doi:10.48550/arxiv.2301.08436]
Zhang, Y., et al. [incl. Langseth, C.M.] (2023). Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex. Sci. Rep. 13, 9567.

2022

Bruggen, D. van, Pohl, F., Langseth, C.M., et al. (2022). Developmental landscape of human forebrain at a single-cell level identifies early waves of oligodendrogenesis. Dev. Cell 57, 1421–1436.e5.

2021

Langseth, C.M., Gyllborg, D., et al. (2021). Comprehensive in situ mapping of human cortical transcriptomic cell types. Commun. Biol. 4, 998. [doi:10.1038/s42003-021-02517-z]
Hilscher, M.M., Langseth, C.M., et al. (2021). Spatial and temporal heterogeneity in the lineage progression of fine oligodendrocyte subtypes. BMC Biol. 20, 122.
Horta, S., et al. [incl. Langseth, C.M.] (2021). Evaluation of Immuno-Rolling Circle Amplification for Multi-plex Detection. Anal. Chem. [doi:10.1021/acs.analchem.1c00172]
Salas, S.M., Gyllborg, D., Langseth, C.M., and Nilsson, M. (2021). Matisse: a MATLAB-based analysis toolbox for in situ sequencing expression maps. BMC Bioinformatics 22, 391.
Manno, G.L., et al. [incl. Langseth, C.M.] (2021). Molecular architecture of the developing mouse brain. Nature 596, 1–5.

2020

Gyllborg, D., Langseth, C.M., et al. (2020). Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics. Nucleic Acids Res. [doi:10.1093/nar/gkaa792]

* Equal contribution