Projects per year
Personal profile
Biography
Jonathan works in the School of Mathematical Sciences at Monash University as a Senior Lecturer
Jonathan is a researcher in Bayesian methods, bioinformatics and genetic epidemiology. His current main research interest is in statistical methods for the detection of novel non-protein-coding functional elements in genomes. He also has current and recent projects in phylogenetics, whole genome association studies and identification of quantitative trait loci.
He is currently a chief investigator on two ARC Discovery grants: Statistical methods for detection of non-coding RNAs in Eukaryote Genomes and Statistical methods for discovering RNAs contributing to human diseases and phenotypes.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Bayesian methods
- Bioinformatics
- Genetic epidemiology
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Optimising progress towards elimination of malaria
Flegg, J., Keith, J., Smith - Miles, K. & Richards, J.
28/04/20 → 28/04/24
Project: Research
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RIFA 2065 For the provision of National Red Imported Fire Ant Eradication Program Steering Committee (NRIFAEP) spread analysis (modelling)
Spring, D., Keith, J. & Thao, L.
Department of Agriculture and Fisheries (Queensland)
18/05/20 → 26/06/20
Project: Research
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API: Developing models to capture tail events in energy markets - INT-0630
Pourkhanali Koudehi, A. & Keith, J.
29/07/19 → 29/11/19
Project: Research
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FAM: Additional Fire Ant Modelling including changes in public engagement
1/10/16 → 31/12/16
Project: Research
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Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry
Gundry, L., Guo, S. X., Kennedy, G., Keith, J., Robinson, M., Gavaghan, D., Bond, A. M. & Zhang, J., 21 Feb 2021, In: Chemical Communications. 57, 15, p. 1855-1870 16 p.Research output: Contribution to journal › Article › Research › peer-review
9 Citations (Scopus) -
Network Structure Change Point Detection by Posterior Predictive Discrepancy
Bian, L., Cui, T., Sofronov, G. & Keith, J., 2 May 2020, Monte Carlo and Quasi-Monte Carlo Methods: 13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2018; Rennes; France; 1 July 2018 through 6 July 2018. Tuffin, B. & L’Ecuyer, P. (eds.). Switzerland: Springer-Praxis, Vol. 324. p. 107-123 17 p. (Springer Proceedings in Mathematics and Statistics; vol. 324).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
1 Citation (Scopus) -
Delimiting a species’ geographic range using posterior sampling and computational geometry
Keith, J. M., Spring, D. & Kompas, T., 1 Dec 2019, In: Scientific Reports. 9, 1, p. 1-15 15 p., 8938.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile3 Citations (Scopus) -
Agent-based models of malaria transmission: A systematic review
Smith, N. R., Trauer, J. M., Gambhir, M., Richards, J. S., Maude, R. J., Keith, J. M. & Flegg, J. A., 17 Aug 2018, In: Malaria Journal. 17, 1, 16 p., 299.Research output: Contribution to journal › Review Article › Research › peer-review
Open AccessFile22 Citations (Scopus) -
Bayesian change-point modeling with segmented ARMA model
Sadia, F., Boyd, S. & Keith, J. M., 1 Dec 2018, In: PLoS ONE. 13, 12, 23 p., e0208927.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Citations (Scopus)