Welcome to Michelle Baker and Henry Todman

We are delighted to welcome two new lab members this month, Michelle Baker and Henry Todman. Both Michelle and Henry are joint appointments with the School of Mathematics, co-supervised with Theo Kypraios.

Michelle has rejoined our lab, following a post-doc with Jamie Twycross and Liz Sockett. Michelle’s previous stint with us was very productive, leading to our first AMR slurry modelling paper, which I am sure contributed to our grant success. Michelle will be with us for two years. Michelle writes:

I am a post-doctoral researcher in the field of mathematical biology, and am particularly interested in the study of bacteria and antibiotic resistance. I work in the EVAL-FARMS project using mathematical modelling to investigate the risk of emergence of antibiotic resistance from agricultural slurries. This interdisciplinary project allows me to work alongside experts from a wide range of disciplines to tackle the problem in an integrated way and to produce high quality research.

I completed my PhD in Mathematics here at the University of Nottingham, focussed on cytokine dynamics in arthritic disease. After completing my PhD I took up a research position supervised by Prof Liz Sockett and Dr Jamie Twycross, investigating the potential of predatory bacteria to be used as ‘living antibiotics’.

Henry Todman has joined us as a four year PhD student associated with the EVAL-FARMS project. Henry writes:

I am a mathematical modelling PhD student working with Dov, Theo Kypraios and Michelle Baker. My PhD research will primarily look at developing new mathematical models to assess the risks of bacterial population carrying antimicrobial resistance genes and fitting these models to experimental data produced from the EVAL-FARMS project. 

Prior to beginning my PhD, I studied Mathematics at the University of Warwick for my undergraduate degree, and also completed an MSc in Mathematical Medicine and Biology at the University of Nottingham. Over the course of my MSc I was exposed to a wide range of current research topics in mathematical biology, however, it was antimicrobial resistance that immediately captured my interest. This led me to complete my dissertation on the phage-mediated spread of AMR, and I am now eager to pursue this topic even further in my PhD.

Outside of work, I am a keen climber and you will often find me hanging off some rock in the Peak District, or taking part in bouldering competitions around the country.

 

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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.  

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.