Krasimira Tsaneva-Atanasove earned her undergraduate and MSc degrees in mathematics at the University of Plovdiv, Bulgaria from 1991 until 1996. In September 2001 she started a PhD in applied mathematics at the University of Auckland, New Zealand. After completing her PhD in October 2004 she spent 18 months as a post-doctoral fellow at the Laboratory of Biological Modelling, National Institutes of Health, USA and another 15 months as a post-doctoral fellow at the Department of Mathematics and the Department of Biology at Ecole Normale Superieure in Paris, France. Krasimira joined the Department of Engineering Mathematics at the University of Bristol in October 2007 as a lecturer and was promoted to a Reader in Applied Mathematics in 2012. She moved to the College of Engineering, Mathematics and Physical Sciences, University of Exeter in July 2013 where she is currently a Professor of Mathematics for Healthcare.

Research interests

As part of her research Krasimira focuses on novel applications of mathematics to enable the development of quantitative methods for healthcare and healthcare technologies. She is passionate about projects that could make a difference to experimental scientists and clinicians, and potentially society through the applications of mathematics for personalised prediction and decision in prevention, diagnosis or treatment of health-related conditions. She has developed and analysed various mathematical models in order to study certain aspects of cellular signal-transduction pathways such as calcium dynamics, hormone signalling and neuronal excitability.

More recently she has also engaged in collaborative projects in the area of movement science, experimental psychology and healthcare technologies. She has a long-standing interest in applied dynamical systems theory, numerical continuation, scientific computing and data-driven modelling. As a Turing Fellow, Krasimira hopes to leverage on her experience in collaborative projects and consolidate her research activities in data analytics and its applications to healthcare.

An example would be her pilot work on developing virtual reality-based diagnostics tools for mental health disorders, which has been tested in France. In order to successfully bring this to the UK she needs to engage with relevant software engineers and industrial partners across the UK and expand further her expertise in advanced statistical and machine learning techniques. The Turing provides an exceptional pool of experts and available contacts to enable the successful implementation of the above-mentioned ideas.