Swansea University has recently set up a new Centre for Biomathematics, based in the Departments of Mathematics and Biosciences in the College of Science, with the aim of providing an interdisciplinary focus for those with interests on the interface between mathematics and biology or medicine and of fostering collaborations that are mutually interesting, in order to develop novel biologically-informed predictive mathematical models and computational approaches to tackle topical questions in biology and medicine.

To celebrate the launch of the Centre, and promote its activities both inside Swansea as well as elsewhere in the UK and abroad, we are planning to run a series of workshops and training events, BioMathematics @ Swansea 2017, focussing on various themes such as mathematical oncology, mathematical pharmacology, and mathematical ecology.

Theme 1: Workshop on Mathematical Medicine and Mathematical Pharmacology

Organizing Committee: Dr Gibin Powathil, Dr Lloyd Bridge and Dr Elaine Crooks

This workshop focuses on mathematical medicine and mathematical pharmacology and will bring together established researchers, early career researchers, PhD students from various disciplines:

  • with the aim of facilitating the dissemination of recent research, substantive discussion and the initiation of new research collaborations and
  • enriching the training of mathematics PhD students, via exposure to cutting-edge research developments, showcasing genuine interplay between mathematics and its applications in biology and medicine, and providing networking opportunities.

The topics covered will span a broad spectrum of problems of current interest in oncology and pharmacology and will hopefully stimulate further interactions and research in novel directions. There will be talks on cancer and treatment modelling, biomedical modelling techniques and mathematical pharmacology. This workshop will be of interest to mathematicians, biologists, experimentalist and clinical researchers. We hope that through this workshop we can generate a wider interest in this area by showcasing the usefulness and predictive nature of mathematical and computational models in Biosciences and Medicine and thus initiating new local, regional and national collaborations in this exciting area of science.