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Efficient Bayesian computation for stochastic collective cell spreading models

Study level

Master of Philosophy

Honours

Vacation research experience scheme

Faculty/Lead unit

Science and Engineering Faculty

School of Mathematical Sciences

Topic status

We're looking for students to study this topic.

Supervisors

Associate Professor Chris Drovandi
Position
Associate Professor
Division / Faculty
Science and Engineering Faculty
Professor Matthew Simpson
Position
Professor
Division / Faculty
Science and Engineering Faculty

Overview

New insights into biological processes such as skin cancer spread and wound healing can be obtained through collective cell spreading experiments.  These experiments involve placing cells in a dish and observing (by taking images and using image processing tools) how the population of cells evolve under a variety of experimental treatments and conditions.  An important component for obtaining insight into these processes is the biological modelling and subsequent calibration of the model.  Cells move and proliferate (give birth to other cells) according to random mechanisms so it is important to consider stochastic models.
However, stochastic models of collective cell spreading are so complex that standard parameter estimation approaches are not feasible. This project will develop efficient Bayesian computational methods for such models.

Research activities

This project requires the following:

  • Developing and implement efficient Bayesian computational techniques for the calibration of complex stochastic collective cell spreading models.
  • Compare with previous estimation approaches in the literature.
  • Writing up results as journal articles

Outcomes

Findings will be written up as journal articles for relevant journals.

Skills and experience

The student will develop their skills in the following:
  • Statistical inference
  • Bayesian computation
  • Mathematical and stochastic modelling
  • Scientific programming
  • Academic writing

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.