Modelling and Microbiology Summer School

Modelling and Microbiology Summer School
University of Nottingham, 20-23 August

The aims of our summer school are:
•       To bring together microbiologists and theoreticians in a practical-led training workshop at the interface of modelling and microbiology
•       To provide modellers with the opportunity to carry out laboratory experimental work
•       To provide experimentalists with the opportunity to carry out mathematical modelling
•       To show how working together with the two approaches on the same data can enhance our understanding of the natural world
•       To provide research seminars at the interface of modelling and microbiology to showcase state-of-the-art systems biology research

For the two practical days, delegates with experimental and theoretical backgrounds will be paired, working together first in the laboratory, and then in the computer room. This exciting format enables people with different disciplines to learn from each other.

Open to all – MSc and PhD students, post-doctoral researchers, PIs, pharma and biotech R&D.

We welcome applications from all sub-disciplines – you don’t have to be a microbiologist to attend!

Places are limited to 28. We will ask whether your background is mainly experimental or theoretical and a brief statement of what you hope to get out of the workshop. Thanks to support from BBSRC under the StoMP and Bioluminescence grants the course fee is only £80 and this covers tuition, single en-suite accommodation for 3 nights, and all meals and refreshments.

Confirmed seminar speakers

Paul Williams (Nottingham)
Gail Preston (Oxford)
John Ward (Loughborough)

Course Organisers: Dov Stekel (University of Nottingham) and Jamie Wood (University of York).

Applications are now being accepted – please complete the application form at:

If you have any problems or questions, please contact Mirela Axinte (

To download a flyer, please click the following link:

Modelling and Microbiology summer school flyer


Arrival of new GPU card

Today our new GPU card arrived – our first go at using a TESLA card. We have received an NVIDIA TESLA C2075 which has a rather useful 448 CUDA cores and 6GB memory. A remarkable feature of these TESLA cards is that they are designed for high-performance computation and do not even have a video output! We anticipate trialling this in a number of projects, including the most recently awarded BBSRC grant for analysis of Biolog data. There may well be significant advantages to be gained in using GPU technology for such high throughput data.This will also be an opportunity for me to learn a completely new computing paradigm, and I might take the time to learn Python as well and make use of the PyCUDA libraries rather than worry too much about C++ (I’m not sure I’ll have the time any more for too much lower-level programming).

Particular thanks go to Matthias Gerstgrasser for starting us off down the GPU route, Theo Kypraios with whom we have recently had funding to trial GPUs in statistical inference methods, Dorota Herman who has been working with us for the last three months on using GPU technology, and John Veasey for helping set up the hardware and software.