Research Interests
I am interested in the application and development of rigorous quantitative methods in fundamental biology research and biomedicine. I'm currently working with Matt J. Keeling on the Health Data Research UK for the Midlands project. Before that I investigated mechanisms of mRNA transcription with Daniel Hebenstreit and Bärbel Finkenstädt Rand.
My research interests also include interacting particle systems, Monte Carlo methods, large deviation theory and applications to natural and man-made systems.
Biography
PhD Applied Mathematics, Queen Mary, University of London, 2016
MSc Theoretical Physics, Università degli Studi di Catania 2012
BSc Physics, Università degli Studi di Catania 2008
- Cavallaro, Massimo, Moran, Ed, Collyer, Benjamin, McCarthy, Noel D., Green, Christopher, Keeling, Matt J., 2023. Informing antimicrobial stewardship with explainable AI. PLOS Digital Health, 2 (1)
- Cavallaro, Massimo, Wang, Yuexuan, Hebenstreit, Daniel, Dutta, Ritabrata, 2023. Bayesian inference of polymerase dynamics over the exclusion process. Royal Society Open Science, 10 (8)
- Brand, Samuel P. C., Cavallaro, Massimo, Cumming, Fergus, Turner, Charlie, Florence, Isaac, Blomquist, Paula, Hilton, Joe, Guzman-Rincon, Laura, House, Thomas, Nokes, D. James, Keeling, Matthew James, 2023. The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom. Nature Communications, 14
- Brand, Samuel, Cavallaro, Massimo, Cumming, Fergus, Turner, Charlie, Florence, Isaac, Blomquist, Paula, Hilton, Joe, Guzman-Rincon, Laura, House, Thomas A., Nokes, James, Keeling, Matthew James, 2023. The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom. Nature Communications, 14
- Cavallaro, Massimo, Dyson, Louise, Tildesley, Michael J., Todkill, Daniel, Keeling, Matt J., 2023. Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern : a retrospective analysis. Journal of the Royal Society. Interface, 20 (208)
- Cavallaro, Massimo, Coelho, Juliana, Ready, Derren, Decraene, Valerie, Lamagni, Theresa, McCarthy, Noel D., Todkill, Daniel, Keeling, Matt J., 2022. Cluster detection with random neighbourhood covering : application to invasive Group A Streptococcal disease. PLoS Computational Biology, 18 (11)
- Cavallaro, Massimo, Moiz, Haseeb, Keeling, Matt J., McCarthy, Noel D., 2021. Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. PLoS Computational Biology, 17 (6)
- Cavallaro, Massimo, Walsh, Mark D., Jones, Matt, Teahan, James, Tiberi, Simone, Finkenstädt, Bärbel, Hebenstreit, Daniel, 2021. 3?-5? crosstalk contributes to transcriptional bursting. Genome Biology, 22
- Zhang, Jie, Cavallaro, Massimo, Hebenstreit, Daniel, 2021. Timing RNA polymerase pausing with TV-PRO-seq. Cell Reports Methods, 1 (6)
- Cavallaro, Massimo, Harris, Rosemary J., 2019. Effective bandwidth of non-Markovian packet traffic. Journal of Statistical Mechanics: Theory and Experiment, 2019
- Tiberi, Simone, Walsh, Mark David, Cavallaro, Massimo, Hebenstreit, Daniel, Finkenstädt, Bärbel, 2018. Bayesian inference on stochastic gene transcription from ?ow cytometry data. Bioinformatics, 34 (17), pp. i647-i655
- Cavallaro, Massimo, Harris, Rosemary J., 2016. A framework for the direct evaluation of large deviations in non-Markovian processes. Journal of Physics A: Mathematical and Theoretical, 49 (47)
- Cavallaro, Massimo, Mondragón, Raúl J., Harris, Rosemary J., 2015. Temporally correlated zero-range process with open boundaries : steady state and fluctuations. Physical Review E, 92 (2)
- Cavallaro, Massimo, Asprone, D., Latora, V., Manfredi, G., Nicosia, V., 2014. Assessment of urban ecosystem resilience through hybrid social-physical complex networks. Computer-Aided Civil and Infrastructure Engineering, 29 (8), pp. 608-625
- Asprone, D., Cavallaro, Massimo, Latora, V., Manfredi, G., Nicosia, V., 2014. Urban network resilience analysis in case of earthquakes. In Deodatis, George; Ellingwood, Bruce R.; Frangopol, Dan M. (eds.), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, London, CRC Press, pp. 4069-4075
- Cavallaro, Massimo, Moiz, Haseeb, Keeling, Matt J., McCarthy, Noel D., 2021. Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. MedRXiv
- 'Cavallaro, Massimo, 'Walsh, Mark David, 'Jones, Matt, 'Teahan, James, 'Tiberi, Simone, 'Finkenstädt, Bärbel, 'Hebenstreit, Daniel, 2021. 'Data for 3'-5' crosstalk contributes to transcriptional bursting. University of Warwick, Mathematics Institute
| Title | Funder | Award start | Award end |
|---|---|---|---|
| TRANSCRIPTION AND NUCLEAR PHASE TRANSITIONS | UK Research and Innovation | 01 Apr 2019 | 31 Dec 2022 |