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PhD in Computer Science (Dublin City University)
Dr Dimitri Perrin is Senior Lecturer in the School of Computer Science at the Queensland University of Technology, where he leads the Biomedical Data Science group (more details on biomedicaldatascience.com). He is also a Chief Investigator in the QUT Centre for Data Science, co-leading the Health and Biological Systems Domain.
Prior to joining QUT, he worked as a FPR Fellow in the Laboratory for Systems Biology (RIKEN, Japan) and as an IRCSET Marie-Curie Research Fellow with the Centre for Scientific Computing & Complex Systems Modelling (Dublin City University, Ireland) and the Department of Information Networking (Osaka University, Japan).
His research interests are in developing new approaches to analyse, understand and optimise biomedical and social systems. His work therefore spans the areas of modelling and simulation, computational biology and bioinformatics, and data analysis. Recent projects include gene editing (CRISPR), high-resolution biomedical imaging (CUBIC), and mobile apps for health research.
Dimitri Perrin holds a Master’s Degree (Diplôme d’Ingénieur) in Computer Engineering from ISIMA (Aubière, France), a M.Sc. in Computing from Université Blaise Pascal (Clermont-Ferrand, France), and received his Ph.D. in Computing from Dublin City University (Dublin, Ireland).
For up-to-date publications and current projects, please check Dr Perrin’s group website.
Additional information
- Type
- Funding Award
- Reference year
- 2012
- Details
- Foreign Postdoctoral Fellowship (http://www.riken.jp/en/careers/programs/fpr/)
- Type
- Funding Award
- Reference year
- 2010
- Details
- Complexity-NET grant (ERA-NET, FP6) for the Complexity of Interdependent Epigenetic Signals in Cancer Initiation (CIESCI) project.
- Type
- Funding Award
- Reference year
- 2009
- Details
- IRCSET-Marie Curie International Mobility Fellowships in Science Engineering and Technology
- Tatsuki F, Sunagawa G, Shi S, Susaki E, Yukinaga H, Perrin D, Sumiyama K, Ukai-Tadenuma M, Fujishima H, Ohno R, Tone D, Ode K, Matsumoto K, Ueda H, (2016) Involvement of Ca2+-dependent hyperpolarization in sleep duration in mammals, Neuron p70-85
- Sunagawa G, Sumiyama K, Ukai-Tadenuma M, Perrin D, Fujishima H, Ukai H, Nishimura O, Shi S, Ohno R, Narumi R, Shimizu Y, Tone D, Ode K, Kuraku S, Ueda H, (2016) Mammalian reverse genetics without crossing reveals Nr3a as a short-sleeper gene, Cell Reports p662-677
- Susaki E, Tainaka K, Perrin D, Yukinaga H, Kuno A, Ueda H, (2015) Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging, Nature Protocols p1709-1727
- Tainaka K, Kubota S, Suyama T, Susaki E, Perrin D, Ukai-Tadenuma M, Ukai H, Ueda H, (2014) Whole-body imaging with single-cell resolution by tissue decolorization, Cell p911-924
- Susaki E, Tainaka K, Perrin D, Kishino F, Tawara T, Watanabe T, Yokoyama C, Onoe H, Eguchi M, Yamaguchi S, Abe T, Kiyonari H, Miyawaki A, Yokota H, Ueda H, (2014) Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis, Cell p726-739
- Jolley C, Ukai-Tadenuma M, Perrin D, Ueda H, (2014) A mammalian circadian clock model incorporating daytime expression elements, Biophysical Journal p1462-1473
- Ruskin H, Perrin D, Roznovat I, (2014) Building cross-scale models of epigenetic mechanisms, Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) p30-37
- Perrin D, Duhamel C, (2013) Optimisation algorithms for microarray biclustering, Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013) p592-595
- Perrin D, Ruskin H, Niwa T, (2010) Cell type-dependent, infection-induced, aberrant DNA methylation in gastric cancer, Journal of Theoretical Biology p570-577
- Perrin D, Ruskin H, Crane M, (2010) Model refinement through high-performance computing: an agent-based HIV example, Immunome Research p1-9
- Rapid detection of safe and efficient gene editing targets across entire genomes
PhD, Principal Supervisor
Other supervisors: Professor Flavia Huygens - Reliable Uncertainty in Bayesian Neural Networks
PhD, Associate Supervisor
Other supervisors: Professor Clinton Fookes, Distinguished Professor Kerrie Mengersen