http://vimeo.com/45967160

My primary research interest is the Markovian process algebra PEPA, and its use for the performance modelling of computer and communication systems. Much of my work has focussed on the relationship between the compositional structures of the process algebra and structure in the underlying Markov process, especially in cases when this relationship can be exploited in order to ease the solution of the Markov process. More recently I have been considering new applications for stochastic process algebra, particularly those related to systems biology. This has lead to consideration of new analysis techniques, particularly those based on fluid approximation and to the development of some new languages in the PEPA family, particularly Bio-PEPA and HYPE.

BA in Mathematics, University of York 1985.
MSc in Mathematics, Lehigh University 1987.
PhD in Computer Science, University of Edinburgh 1994.

Jane Hillston is Professor of Quantitative Modelling in the School of Informatics and Dean of Research Culture in the College of Science and Engineering at the University of Edinburgh. Her research is concerned with formal approaches to modelling dynamic behaviour of discrete event systems. This includes everything from cloud computing, to biological processes, to transport systems in smart cities. Her research has been recognised by a number of awards including the RSE Lord Kelvin Medal, the BCS Lovelace Award and Fellowship of the Royal Society.  She was Head of School in School of Informatics from 2018—2023 and Deputy Vice Principal Research 2020—2022.  Professor Hillston was awarded an MBE in the Kings Birthday Honours List in 2023 in recognition of her contribution to computer science and women in science.