Skip to main content
KBS_Icon_questionmark link-ico

 

Machine learning and multimodal imaging to identify ageing factors affecting muscle stem cell function

 Project details

First supervisor: Dr Robert Knight

Mode of study: Full-time

Eligibility:  UK / Overseas

Start dates:  October, February, June

Application deadline:  Open until a suitable candidate is found

Reference number:   2026-RK02

Open to externally sponsored or self-funded applicants 

See Fees or Funding for current rates

Contact supervisor for expected bench fee rates

Project description

Stem cells are critical for maintaining organ function, but their function is impaired in ageing and disease. Although many factors have been observed to change in ageing it is unclear what the causal factors driving changes to function are. Using zebrafish telomerase mutants, a powerful genetic model of ageing, we aim to investigate how specific molecular changes in ageing affect stem cell behaviour in muscle in vivo. Live cell and functional imaging modalities will be deployed to measure stem cell behaviour and profile molecular composition of tissues. Specifically, fluorescently labelled cells will be visualised relative to biosensors for metabolism and inflammation in conjunction with Raman and DESI-MS imaging of tissue molecular composition. Using AI methods for embedding multimodal data we will make causal predictions about functionally important changes to stem cell environment and test these in vivo using genomic manipulations.

Research training

Skill sets candidates would learn will include live cell imaging, use of zebrafish as a model organism, gene expression analysis, gene functional manipulation by Cas9/ CRISPR, DESI-mass spectrometry and Raman imaging. They would also learn how to perform data transformations for training AI models to analyse imaging data. 

Next steps

In the first instance, please contact the supervisor to discuss your interest in the project prior to submitting an application.

To view entry requirements and further general information, see the  Dental and Health Sciences Research MPhil/PhD prospectus page.

Apply online at apply.kcl.ac.uk following these steps:

  1. Register a new account/login.
  2. Once logged in, select Create a new application.
  3. Enter ‘Dental and Health Sciences Research MPhil/PhD (Full-time)' under Choose a Programme
  4. Select your chosen start date.
  5. Please note: Applicants must include the project reference number (2026-RK02) in the 'Research proposal' and 'Funding (point 5)' sections of the application

Contact for further information

Related Centre: Centre for Craniofacial & Regenerative Biology

 

Back to Research Projects main page.