Professor of Industrial and Applied Mathematics, University of Limerick

I am a graduate of University College Dublin in Mathematical Sciences and Mathematical Physics and I received my PhD in Applied Mathematics from Caltech in 1999. Following my graduation from Caltech, I was a visiting assistant professor in Arizona State University for one year, and then moved to University College Cork for 7 years, before taking up my current position at the University of Limerick. I am an Associate Editor of the Journal of Complex Networks and a member of the editorial board of Physical Review E. I was appointed to the Irish Research Council in 2013.

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James Gleeson
Professor of Industrial and Applied Mathematics, University of Limerick
Data Analytics, Artificial Intelligence, Predictive Modelling, Decision Analytics

As co-director of MACSI, the Mathematics Applications Consortium for Science and Industry, I lead research into applications of mathematics to real-world problems with significant economic and social impact. My research interests include stochastic dynamics and contagion on complex networks.

Your most relevant and/or highest level qualifications, with year of award, awarding body and grade/classification where available, title of PhD thesis etc.
PhD (Applied Math) Caltech, 1999
MSc (Mathematical Physics) UCD, 1995
BSc (Mathematical Science) UCD, 1994

Member of Society for Industrial and Applied Mathematics: SIAM
Member of European Complex Systems Society

Mathematical modelling and data analysis.

As co-director of MACSI, I am responsible for many industry-facing projects involving mathematical modelling and data analysis.

My research interests include stochastic dynamics and contagion on complex networks.

1. Gleeson JP and Durrett R, “Temporal profiles of avalanches on networks”, Nature Communication, 8, 1227 (2017) 2. Starnini M. et al. “Equivalence between non-Markovian and Markovian dynamics in epidemic spreading processes”, Physical Review Letters, 118, 12301 (2017) 3. Gleeson JP et al., “Competition-induced criticality in a model of meme popularity”, Physical Review Letters, 112, 048701 (2014) 4. Gleeson JP et al., “A simple generative model of collective online behaviour”, Proceedings of the National Academy of Sciences USA, 111, 10411 (2014). 5. Gleeson JP, “High-accuracy approximation of binary-state dynamics on networks”, Physical Review Letters, 107, 068701 (2011)

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