Graduate Research School Available Projects Mathematical Modelling of Cell-Fate Determination
Mathematical Modelling of Cell-Fate Determination
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Title of Project
Mathematical Modelling of Cell-Fate Determination
Advisor/s
A/Prof Ulf Schmitz, Dr Siyuan Wu
College or Research Centre
College of Public Health, Medical & Veterinary Science; College of Science & Engineering
Summary of Project
We are seeking motivated and creative HDR candidates to join our research team to investigate the regulatory mechanisms of cellular differentiation through mathematical modelling. Cellular differentiation, the process by which cells acquire specialised functions, is a fundamental biological process that underlies many aspects of development and disease. The project aims to develop deterministic and/or stochastic mathematical models that describe the regulatory mechanisms underlying cell-fate determination, and to use these models to gain insights into how cells make fate decisions in response to various internal and external environments. In addition, the successful candidate will work with data from various sequencing technologies such as bulk RNA sequencing, single-cell sequencing, and long-read sequencing to validate the developed models.
The ideal candidate should have a background in mathematics, computer science, engineering, bioinformatics, computational biology, or a related field. The project will involve model development, numerical analyses, and data analyses. The candidate will use these models to explore the effects of different genetic and environmental factors on cell-fate decisions, and to identify key regulators of cellular differentiation. The candidate will also be responsible for analysing and interpreting the model results and writing up their findings for publication in high-impact academic journals.
Key Words
Numerical methods; Cell-Fate Determination; Computational methods; Mathematical modelling; Computational Biology; Systems Biology; Mathematical Biology; Bioinformatics
Would suit an applicant who
has a background in mathematics, computer science, engineering, bioinformatics, computational biology, or a related field. This project is suitable for doctoral or master students. Some computational skills (MATLAB, Python, R programming) would be very helpful.
Updated: 17 Mar 2023