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PhD projects

The School of Mathematics and Statistics at University of St Andrews offers multiple routes for obtaining studentships to undergo PhD studies. There are also a number of other options available, so if you are interested in applying for such positions either under my supervision, or a joint supervision with a colleague from this school and/or another school or university please do get in touch. I'll be happy to assist with such application.

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The School offers a stimulating and friendly environment which is ideal for postgraduate studies. The University of St Andrews in general is one of the best places for study and research in the UK.

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I currently co-supervise

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  • Xiaoyue Yang (with Andy Lynch) on Analysing prostate cancer gene expression data

  • Naici Guo (with Andy Lynch) on Using multivariate methods to analyse proteomics and genomics data

  • Konstantinos Alexiou (with Tomasso Lorenzi, and Mark Chaplain) on Stochastic modelling of populations of interacting cells with complex underlying phenotypes

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Please see below the topic of a joint PhD project. 

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Statistical inference for stochastic dynamical systems in biology

Supervisors: Giorgos Minas, Jochen Kursawe

 

Stochastic dynamical systems can describe the interactions governing biological processes. In many applications, such as the circadian clock or embryonic development, researchers are collecting time-course data to gain insights to dynamic behaviours and regulation. Statistical inference can be applied to these data to identify parameters and properties that would otherwise not be experimentally measurable. Key challenges for statistical inference in large dynamical systems are parameter identifiability and computational speed. Which parameters can be inferred given a specific type of data? Can we optimise the experimental design to make it most informative? Can we generate faster algorithms for a specific inference problem?

 

This project will use theoretical approaches to answer these questions. The candidate will develop new methodology that can help practitioners decide on their data collection and analysis routines. While this project focusses on dynamical systems in general, the results will be applicable to many real-world applications, including embryonic development, circadian rhythms, and dynamic regulation of physiology. 

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Feel free to contact me if you are interested for PhD studies in the broad area of my background. 

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