
Sasha Gavryushkina
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Dr Sasha Gavryushkina is a Lecturer in Data Science and Statistics at the School of Computer and Mathematical Sciences at the University of Adelaide. Her research focuses on developing statistical and computational methods for genomics data analysis. In particular, Sasha is working on methods for reconstructing tumor evolution using single-cell RNA sequencing and multi-omics data. She also explores the application and extension of birth-death models in macroevolution and epidemiology to estimate diversification and epidemiological parameters. The methods she has developed have been implemented as software packages for BEAST2, a widely used tool for phylogenetic tree reconstruction. Additionally, Sasha is interested in applying machine learning techniques for pre-processing of sequencing data analysis, genotype-phenotype association studies, and other problems.
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Appointments
Date Position Institution name 2025 - ongoing Lecturer University of Adelaide 2024 - 2025 Senior Research Fellow Max Planck Institute of Geoanthropology 2021 - 2024 Research Fellow University of Canterbury 2018 - 2021 Postdoctoral Research Fellow University of Otago 2016 - 2018 Postdoctoral Research Fellow ETH Zurich -
Education
Date Institution name Country Title 2013 - 2017 University of Auckland New Zealand PhD
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Journals
Year Citation 2025 Truman, K., Vaughan, T. G., Gavryushkin, A., & Gavryushkina, A. S. (2025). The Fossilized Birth-Death Model Is Identifiable.. Syst Biol, 74(1), 112-123.
Scopus1 Europe PMC12020 Biggs, H., Parthasarathy, P., Gavryushkina, A., & Gardner, P. P. (2020). ncVarDB: A manually curated database for pathogenic non-coding variants and benign controls. Database, 2020, baaa105.
Scopus10 Europe PMC82019 Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., DuchĂȘne, S., Fourment, M., Gavryushkina, A., . . . Drummond, A. J. (2019). BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLoS Computational Biology, 15(4), e1006650.
Scopus2604 Europe PMC13122018 Silvestro, D., Warnock, R. C. M., Gavryushkina, A., & Stadler, T. (2018). Closing the gap between palaeontological and neontological speciation and extinction rate estimates. Nature Communications, 9(1), 5237.
Scopus60 Europe PMC222018 Stadler, T., Gavryushkina, A., Warnock, R. C. M., Drummond, A. J., & Heath, T. A. (2018). The fossilized birth-death model for the analysis of stratigraphic range data under different speciation modes. Journal of Theoretical Biology, 447, 41-55.
Scopus70 Europe PMC252016 Ratmann, O., Van Sighem, A., Bezemer, D., Gavryushkina, A., Jurriaans, S., Wensing, A., . . . Fraser, C. (2016). Sources of HIV infection among men having sex with men and implications for prevention. Science Translational Medicine, 8(320), 320ra2.
Scopus99 Europe PMC762014 Gavryushkina, A., Welch, D., Stadler, T., & Drummond, A. J. (2014). Bayesian Inference of Sampled Ancestor Trees for Epidemiology and Fossil Calibration. PLoS Computational Biology, 10(12), e1003919.
Scopus237 Europe PMC1392013 Gavryushkina, A., Welch, D., & Drummond, A. J. (2013). Recursive algorithms for phylogenetic tree counting. Algorithms for Molecular Biology, 8(1), 26.
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Book Chapters
Year Citation 2021 Gavryushkina, A., & Zhang, C. (2021). Total-evidence dating and the fossilized birth-death model. In The Molecular Evolutionary Clock: Theory and Practice (pp. 175-193). Springer International Publishing.
DOI Scopus2 -
Conference Papers
Year Citation 2017 Gavryushkina, A., Heath, T. A., Ksepka, D. T., Stadler, T., Welch, D., & Drummond, A. J. (2017). Bayesian total-evidence dating reveals the recent crown radiation of penguins. In Systematic Biology Vol. 66 (pp. 57-73). England: Oxford University Press (OUP).
DOI Scopus208 Europe PMC98
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