Welcome to Laurence Shaw

We are delighted to have Lauence Shaw in our laboratory as a postdoctoral researcher from the end of August until the end of December. Laurence will be working on an EPSRC ODA project analyzing AMR data in collaboration with Yongguan Zhu at the Institute of Urban Environment, Chinese Academy of Sciences, Xiamen. Laurence writes:

I am a statistician and my role here is to perform a statistical analysis on soil data from China with the aim of understanding the development of Anti-Microbial Resistance.  As an undergraduate I studied mathematics at Homerton College, Cambridge before coming to the University of Nottingham to undertake a masters in statistics. This led to a PhD in the School of Mathematical Sciences In Nottingham in which I used probability theory to model the spread of epidemics.

During my PhD I got involved in teaching statistics, both to mathematics undergraduates and to PhD students outside of mathematics who had data but did not necessarily know what to do with it. This sparked an interest in using my statistical background to collaborate with other departments and I have undertaken small data analysis projects with Crop Sciences (where I first worked with Dov), Medicine & Health and Engineering at Nottingham. This had brought me to my current position in Biosciences.

In my spare time I run a local pool team, and am one of a group of quizmasters who set the Monday pub quiz at the Malt Cross in Nottingham.  

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Welcome to Mike Stout

This week Mike Stout started work in our group as a research fellow on the BBSRC funded project to develop systems for high throughput analysis of cell growth data from BIOLOG phenotype arrays; a lay summary of this project can be found here.

Prior to this, Mike was a PDRA at the the Centre for Plant Integrative Biology, University of Nottingham, working with Professor Charlie Hodgman on developing repositories for multi-scale systems biology models and imaging data, and tools for systems biology simulation visualization. Mike’s PhD, also at the University of Nottingham, was on predicting geometric and topological properties of proteins using a range of machine learning systems, in particular Learning Classifier System. He has a background in both Biology and Computer Science and before his PhD headed the Electronic Journals Group at Oxford University Press, managing transnational projects to develop journal content online.

Mike’s research interests include Complex Systems Science, Evolutionary Computation, Functional Programming, Information Visualization and High Performance Computation using, for example, GPUs.

Mike’s experience and expertise will be particularly valuable for the group and we look forward to working with him.