[The Svedberg seminar] – That’s Gonna Leave a Mark: Computational inference of complex cell features
November 23, 2026 @ 15:15 – 16:15 CET
Marcel Tarbier
Assistant Professor, DDLS fellow, Uppsala University
Bio
Marcel gained his PhD in Molecular Biosciences and Computational RNA Biology at Stockholm University with Marc Friedländer studying subtle gene expression variations in virtually identical cells. As postdoc in Vicent Pelechano’s lab at Karolinska Institute he investigated single-cell RNA degradation dynamics and cancer heterogeneity. In 2025, he started his lab as a DDLS fellow in precision medicine and diagnostics at Uppsala University and SciLifeLab, focusing on computational approaches to infer complex cell features, such as ancestries, micro-environments and cell cycle.
That’s Gonna Leave a Mark: Computational inference of complex cell features
In molecular biology and medicine the molecular composition of samples is the most utilized readout, and transcriptomic measurements are at the heart of a myriad of break-throughs from developmental biology to pathophysiology. In complex systems, single-cell readouts have revolutionized our understanding of molecular mechanisms. But single-cell measurements are “confounded” by complex cell features such as ancestries, micro-environment and cell cycle. None of these can easily be measured alongside comprehensive single-cell readouts, greatly limiting our ability to draw conclusions and to put them into biological context. Using tailored statistical and deep learning approaches we infer these complex cell features and phenotypes based on the marks they leave on the gene expression profiles.
Host: Lars Forsberg lars.forsberg@igp.uu.se, UU
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