Jon Garibaldi is Associate Professor & Reader in the School of Computer Science at the University of Nottingham and Manager of Strand 3 of the CPIB virtual root project.
Dr Garibaldi’s main research interest is in the development of artificial intelligence techniques for biomedical decision support and in the modelling of human decision making, primarily in the context of biological and medical applications. His work to date has concentrated on utilising fuzzy logic to model the imprecision and uncertainty inherent in biomedical knowledge representation and decision making.
Jon Garibaldi’s homepage
Published Work
- Jianyong Sun, Jonathan M. Garibaldi, Kim Kenobi (2012) Robust Bayesian Clustering for Replicated Gene Expression Data. Accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics
Virtual Root
- Leah R Band*, Darren M. Wells*, Antoine Larrieu*, Jianyong Sun*, Alistair M. Middleton*, Andrew P. French, Géraldine Brunoud, Ethel Mendocilla Sato, Michael H. Wilson, Benjamin Péret, Marina Oliva, Ranjan Swarup, Ilkka Sairanen, Geraint Parry, Karin Ljung, Tom Beeckman, Jonathan M. Garibaldi, Mark Estelle, Markus R. Owen, Kris Vissenberg, T. Charlie Hodgman, Tony P. Pridmore, John R King, Teva Vernoux, Malcolm J Bennett (2012) Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping point mechanism. PNAS 109, 4668–4673 [* these authors contributed equally]
Virtual Root
- Sun J, Garibaldi JM, Krasnogor N, Zhang Q (2012) An Intelligent Multi-Restart Memetic Algorithm for Unconstrained Global Optimization. Evolutionary Computation, MIT Press.
Virtual Root
