Projects per year
Personal profile
Research interests
- Markov chain Monte Carlo methods, Cross-Entropy method
- Statistical modelling and applications in biology, bioinformatics, finance and insurance
- Theory and applications of random processes, optimal stopping rules
- Sequential analysis, asymptotic theory, change-point problem
Statistical Software
Priyadarshana, W. J. R. M., Sofronov, G. (2015). Multiple Break-Points Detection in array CGH Data via the Cross-Entropy Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, N 2, 487-498, DOI: 10.1109/TCBB.2014.2361639, ISSN 1545-5963.
Teaching
- 2020 - 2022, 1 Semester, STAT8310 Statistical Theory
- 2020 - 2022, 1 Semester, STAT2372 Probability
- 2021, 2022, 1 Semester, STAT2173/STAT6183 Introduction to Probability
- 2020, 2021, 2 Semester, STAT2371 Statistics
- 2019, 1 Semester, STAT806 Statistical Inference
- 2014, 2015, 2 Semester, STAT821 Multivariate Statistical Analysis
- 2011 - 2019, 1 Semester, STAT272 Probability
- 2014, 1 Semester, STAT830 Prelude to Bioinformatics
- 2011 - 2013, 1 Semester, ACST601 Stochastic Methods in Finance and Insurance
- 2010 - 2012, 2018, 2 Semester, STAT328/STAT826 Market Research and Forecasting
- 2010, 2011, 2015, 2016, 2018, 2019, 2 Semester, STAT273/STAT683 Introduction to Probability
- 2016 - 2018, 1 Semester, STAT273/STAT683 Introduction to Probability
- 2010, 1 Semester, STAT375 Linear Models
- 2010, 1 Semester, STAT170 Introductory Statistics
Research student supervision
- Mr Eric Lie (MRes student since 2020), principal supervisor
- Dr Lijing Ma (received her PhD degree in 2022; MRes, 2017), principal supervisor
- Dr Nishanthi Raveendran (received her PhD degree in 2021; MRes, 2016-2017, awarded University Medal), principal supervisor
- Mr Hugh Entwistle (MRes, 2020-2021, awarded University Medal), principal supervisor
- Ms Sophia Shen (MRes, 2019-2021), principal supervisor
- Ms Thilini Dulanjali Kularatne (MRes, 2016-2017), principal supervisor
- Dr Madawa W. J. R. Priyadarshana (received his PhD degree in 2015), principal supervisor
- Dr Sergey Ivanov (received his PhD degree in 2014), adjunct supervisor
- Dr Tatiana Polushina (received her PhD degree in 2010), principal supervsior
- More than 20 Master projects
- 9 AMSI VRS projects
PhD scholarships
If you are interested in doing a PhD or MRes at Macquarie under my supervision, and are eligible to apply for any of the scholarships listed here, then please contact me in advance of the closing dates.
Fingerprint
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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SmartCrete CRC
Clark, S., Wu, S., Salehi, F., Bishop, M., Trueck, S., Linnenluecke, M., Mukhopadhyay, S., Sheng, M., Beheshti, A., Hansen, S., Dekker, P., Jackson, S., Asadniaye Fard Jahromi, M., Wiggins, M., Ams, M., Withford, M., Beheshti, A., Dafforn, K., Giri, P., Sofronov, G., Taheri, S. & Abbassi, R.
21/09/20 → 20/09/27
Project: Research
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SmartCrete CRC
Clark, S., Wu, S., Salehi, F., Bishop, M., Trueck, S., Linnenluecke, M., Mukhopadhyay, S., Sheng, M., Beheshti, A., Hansen, S., Dekker, P., Jackson, S., Asadniaye Fard Jahromi, M., Wiggins, M., Ams, M., Withford, M., Beheshti, A., Dafforn, K., Giri, P., Sofronov, G., Taheri, S. & Abbassi, R.
1/01/20 → 31/12/26
Project: Research
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BDRC: Biomolecular Discovery Research Centre
Sunna, A., Packer, N., Paulsen, I., Guillemin, G., Li, M., Sofronov, G., Haynes, P., Mabbutt, B., Tetu, S., Thaysen-Andersen, M., Ponton, F., Garcia-Bennett, A., Wang, Y., Cain, A., Kroukamp, H., Maselko, M., Francis, H., Liquet-Weiland, B., Rodger, A., Lee, A., Connor, M., Inglis, D., Carthey, A. & Asadniaye Fard Jahromi, M.
1/01/20 → 31/12/22
Project: Other
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Multiple change-point detection methods and their applications for big data
1/07/17 → …
Project: Research
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Biomolecular Discovery and Design Research Centre
Packer, N., Paulsen, I., Nevalainen, H., Haynes, P., Molloy, M., Atwell, B., Barron, A., Beggs, P., Bergquist, P. L., Brown, L., Cornish, J., Chung, R., De Deene, Y., Garcia-Bennett, A., Gillings, M., Goodchild, A., Guillemin, G., Hallinan, J., Hose, G., Jaschke, P., Mabbutt, B., Raftos, D., Ranganathan, S., Sofronov, G., Sunna, A., Tetu, S., Andersen, M., Willows, R., Ahn, C., Breen, E., Campbell, M., Care, A., Cordina, N., Curach, N., Everest Dass, A., Elbourne, L., Goold, H., Hassan, K., Kautto, L., Krisp, C., Kroukamp, H., Lee, A., Lin, C., Mackie, A., McKay, M., McQuade, L., Mirzaei, M., Mohamedali, A., Ostrowski, M., Parker, L., Pascovici, D., Penesyan, A., Shah, B., Sun, A., Thompson, E. & Williams, T.
1/01/17 → …
Project: Research
Research Outputs
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On asymptotics of optimal stopping times
Entwistle, H. N., Lustri, C. J. & Sofronov, G. Y., 2 Jan 2022, In: Mathematics. 10, 2, p. 1-18 18 p., 194.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
A change-point test for autoregressive processes using a harmonic mean p-value
Ma, L. & Sofronov, G., 2021, MODSIM2021, 24th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2021. Vervoort, R. W., Voinov, A. A., Evans, J. P. & Marshall, L. (eds.). Canberra: Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), p. 50-56 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile7 Downloads (Pure) -
A Markov chain Monte Carlo algorithm for spatial segmentation
Raveendran, N. & Sofronov, G., Feb 2021, In: Information (Switzerland). 12, 2, p. 1-14 14 p., 58.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis
Kawahara, R., Chernykh, A., Alagesan, K., Bern, M., Cao, W., Chalkley, R. J., Cheng, K., Choo, M. S., Edwards, N., Goldman, R., Hoffmann, M., Hu, Y., Huang, Y., Kim, J. Y., Kletter, D., Liquet, B., Liu, M., Mechref, Y., Meng, B., Neelamegham, S. & 34 others, , Nov 2021, In: Nature Methods. 18, 11, p. 1304-1316 36 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus) -
Editorial: applications of machine learning to evolutionary ecology data
Morimoto, J., Ponchon, A., Sofronov, G. & Travis, J., Nov 2021, In: Frontiers in Ecology and Evolution. 9, p. 1-2 2 p., 797319.Research output: Contribution to journal › Editorial › peer-review
Open AccessFile14 Downloads (Pure)
Prizes
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Award for Academic Excellence: Highly Commended
Sofronov, Georgy (Recipient), 2020
Prize: Other distinction
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Visiting Fellowship, Isaac Newton Institute for Mathematical Sciences
Sofronov, Georgy (Recipient), 2014
Prize: Other distinction
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Methodology and Computing in Applied Probability (Journal)
Georgy Sofronov (Member of editorial board)
2022 → …Activity: Peer-review and editorial of research outputs › Editorial work
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Special Session "Computational Statistics and Data Analysis" at the 24th International Congress on Modelling and Simulation
Georgy Sofronov (Organiser)
5 Dec 2021 → 10 Dec 2021Activity: Participating in or organising an event › Organising a conference, workshop or event series
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Statistical Papers (Journal)
Georgy Sofronov (Member of editorial board)
2021 → …Activity: Peer-review and editorial of research outputs › Editorial work
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Special Session “Optimal stopping and its applications” at the 14th Workshop on Stochastic Models, Statistics and their Application
Georgy Sofronov (Organiser)
6 Mar 2019 → 8 Mar 2019Activity: Participating in or organising an event › Organising a conference, workshop or event series
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Workshop Change Point Detection: Limit Theorems, Algorithms, and Applications in Life Sciences
Georgy Sofronov (Organiser), Martin Wendler (Organiser) & Volkmar Liebscher (Organiser)
8 Jul 2019 → 10 Jul 2019Activity: Participating in or organising an event › Organising a conference, workshop or event series
Press / Media
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Early career researchers. Science without an accent.
20/02/12
1 Media contribution
Press/Media: Expert Comment