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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
- Cleves P, Tinoco A, Bradford J, Perrin D, Bay L, Pringle J, (2020) Reduced thermal tolerance in a coral carrying CRISPR-induced mutations in the gene for a heat-shock transcription factor, Proceedings of the National Academy of Sciences of the United States of America p28899-28905
- Bradford J, Perrin D, (2019) A benchmark of computational CRISPR-Cas9 guide design methods, PLoS Computational Biology
- Bradford J, Perrin D, (2019) Improving CRISPR guide design with consensus approaches, BMC Genomics
- Roomkham S, Hittle M, Cheung J, Lovell D, Mignot E, Perrin D, (2019) Sleep monitoring with the Apple Watch: Comparison to a clinically validated actigraph, F1000Research p1-19
- Stephansen J, Olesen A, Olsen M, Ambati A, Leary E, Moore H, Carrillo O, Lin L, Han F, Yan H, Perrin D, other a, (2018) Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy, Nature Communications p1-15
- 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
- Title
- Safer gene editing tools for Australian livestock and biotech industries
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP210103401
- Start year
- 2021
- Keywords
- Rapid detection of safe and efficient gene editing targets across entire genomes
PhD, Principal Supervisor
Other supervisors: Professor Flavia Huygens - Data-driven pandemic response
PhD, Principal Supervisor
Other supervisors: Professor Raja Jurdak - Reliable Uncertainty in Bayesian Neural Networks
PhD, Associate Supervisor
Other supervisors: Professor Clinton Fookes, Distinguished Professor Kerrie Mengersen - Indexing and Search of Extreme-Scale Genomic Collections
PhD, Associate Supervisor
Other supervisors: Associate Professor Jim Hogan - Advancing optimal experimental design with Machine Learning methods
PhD, Associate Supervisor
Other supervisors: Professor Chris Drovandi - Implementing Bayesian Synthetic Likelihood within the Engine for Likelihood-Free Inference
MPhil, Associate Supervisor
Other supervisors: Professor Chris Drovandi - MULTIMODAL DATA FUSION OF REMOTE SENSING AND SOCIAL MEDIA USING MACHINE LEARNING FOR NATURAL DISASTER DETECTION AND ASSESSMENT
PhD, Associate Supervisor
Other supervisors: Dr Alan Woodley, Adjunct Professor Shlomo Geva