A computational and systems biology approach to optimising stem cells for cell-based therapy

We are looking for a PhD candidate with a passion to combine computational modelling and wet-lab experiments, to optimise cell-based therapy.

This project aims to develop an in-silico framework that integrates multi-omics and biochemical data into a computational model of stem cells, to facilitate cell-based therapy. One of the strategies in regenerative medicine is to culture stem cells in bioreactors before injecting them into patients. However, there are challenges in this strategy such as low growth rates in bioreactors and low cell viability after injection. Computational models are useful tools for identifying factors that can be manipulated to optimise cell growth and survival rates.

This project will involve programming and software development for organising data and building models; high-performance computing for model simulation; and wet-lab experiments in a biology lab for testing model prediction.

A first degree (typically BSc or Masters) in Engineering, Mathematics, Chemistry, Physics or Biology is required. To apply, please send your CV including transcripts or grades to Dr Yin Hoon Chew ([email protected]).