Linus Schumacher

Background

I moved to the CRM as a Chancellor’s Fellow in 2018. Previously I was a postdoctoral researcher at Imperial College London and the University of Oxford, where I also obtained my DPhil, based at the Wolfson Centre for Mathematical Biology. For my undergraduate degree I read Natural Sciences at the University of Cambridge.

Open to PhD supervision enquiries?

Yes

Areas of interest for supervision

Applicants requiring funding should also consider the following doctoral programmes: MAC-MIGS (https://www.mac-migs.ac.uk), Biomedical AI (http://web.inf.ed.ac.uk/cdt/biomedical-ai), Precision Medicine (https://www.ed.ac.uk/usher/precision-medicine)

Current PhD students supervised

PhD rotation projects

  • Viktoria Freingruber. Collective chemotaxis: how cells work together to migrate more efficiently (co-supervised with Kevin Painter & Mariya Ptashnyk)

Past PhD students supervised

PhD rotation projects

  • Leslie Nitsche. A computational pipeline for profiling of metabolic states in neutrophils (co-supervised with Sarah Walmsley)
  • Ivan Croydon Veleslavov. Quantifying complexity of collective behaviour & Bayesian inference in agent-based models of collective behaviour (co-supervised with Robert Endres)

Research summary

Computational biology of cell populations

Tissue development and regeneration can be seen as group behaviours of cell populations. To understand development and regeneration, we need to consider the interactions between stem cells and the rest of the cells that make up a tissue. We use mathematical models and computational simulations to predict tissue behaviour from the behaviour of cells. This allows us to develop and test hypotheses in complex biological systems and discern informative patterns in experimental data.

Read an accessible description of Linus Schumacher’s research on the Data-Driven Innovation website: https://ddi.ac.uk/chancellors/linus-schumacher/

Aims and areas of interest

Tissue regeneration is an emergent phenomenon at the scale of cell populations – an individual cell only proliferates, remains quiescent, or dies, but does not regenerate. This poses a constraint on the ways in which cells can get together to build and maintain tissues, as only some sets of microscopic mechanisms, or “rules”, will enable regeneration after injury. In healthy tissues, cell populations also have to self-regulate so as not to over-proliferate and grow in an unregulated, or malignant, manner. These opposing demands raise a basic question: How does regeneration only happen when needed, and how does it know when to stop?

Despite a rich history of insights from developmental biology, quantitative understanding of regeneration and repair remains elusive. Recent advances in stem cell biology, imaging tools, single cell sequencing, and computational biology are poised to change this. Our interest lies in using computational modelling to predict outcomes of hypothesised regulatory mechanisms in development and regeneration. By developing theoretical models we also bring new perspectives on how to interrogate experimental data. We work closely with experimental collaborators with the aim to formulate principles that apply to multiple biological systems, gain insight into misregulation in disease, and inform improvements to regenerative therapy.

Current research interests

Bayesian inference of cell state transitions, Data-driven modelling of immune cell interactions in tissue regeneration and repair, Quantitative analysis and modelling of immune cell migration in wound response

Past research interests

Neural crest cell migration, Collective behaviour of C. elegans nematodes, Noise-induced phenomena in stochastic pattern formation

Affiliated research centres

Current project grants

University of Edinburgh Chancellor's Fellowship
Welcome Trust Institutional Strategic Support Fund

Past project grants

EPSRC Doctoral Prize

View all 15 publications on Research Explorer

University of Edinburgh Chancellor's Fellowship

Welcome Trust Institutional Strategic Support Fund

Val Wilson (University of Edinburgh)

Guillaume Blin (University of Edinburgh)

Will Wood (University of Edinburgh)

Alex Fletcher (University of Sheffield)

Cheng-Ming Chuong (University of Southern California)

Paul Kulesa (Stowers Insitute for Medical Research)

Jochen Kursawe (University of St Andrews)

Anestis Tsakiridis (University of Sheffield)