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Sara Kalvala



Associate Professor

Contact Details

Room 309, Department of Computer Science

University of Warwick, Coventry CV4 7AL

Tel: +44 24 7652 3179

Sara dot Kalvala at warwick dot ac dot uk

Research Interests

My research in Computational Biology focuses on:

  • Development of simulation techniques to model interaction between micro-organisms, in particular the use of cellular automata and multi-agent modelling;
  • Development of logic-based domain-specific languages to model bio-networks, such as metabolic pathways and signalling networks, and synthetic analogues of biosystems.

I am one of the Co-Investigators in the Warwick Integrative Synthetic Biology Centre (WISB).

In the area of Formal Methods, I am particularly interested in:

  • Development of verified optimizing compilers; I have been working towards an approach to specifying optimisations based on Temporal Logics, which allows for many interesting optimisations to be written out formally and proved;
  • Race conditions and their implications in the correct execution of concurrent programs and distributed applications.

Selected Publications

Christophe Ladroue and Sara Kalvala, Constraint-based genetic compilation, in Algorithms for Computational Biology (AlCoB) 2015, Springer LNB, 2015

Jane Sinclair, Matthew Butler, Michael Morgan, Sara Kalvala, Measures of student engagement in Computer Science, in Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, Pages 242-247, ACM, 2015

Daven Sanassy et al, Modelling and stochastic simulation of synthetic biological boolean gates, in Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications pp. 404-408, 2014

Savas Konur et al, Modeling and Analysis of Genetic Boolean Gates using Infobiotics Workbench, in Proceedings of Workshop on Verification of Engineered Molecular Devices and Programs 2014, Vienna, Austria (CAV 2014), pp. 26-37, 2014.

Antony B. Holmes, Sara Kalvala, David E. Whitworth, Spatial Simulations of Myxobacterial Development. PLoS Computational Biology 6(2), 2010

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