People

Dr Massimo Cavallaro

Research Associate

School/Department: Computing and Mathematical Sciences, School of

Email: massimo.cavallaro@leicester.ac.uk

Address: Ken Edwards Building, KE328, University Rd, Leicester LE1 7RH

Profile

  

Publications

  • Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis. M Cavallaro, L Dyson, MJ Tildesley, D Todkill, and MJ Keeling, Journal of the Royal Society. Interface, 20(208):20230410, 2023
  • Bayesian inference of polymerase dynamics over the exclusion process. M Cavallaro, Y Wang, D Hebenstreit, R Dutta, Royal Society Open Science, 10 (8), 2023 (arXiv:2109.05100)
  • The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom. SPC Brand, M Cavallaro, F Cumming, C Turner, I Florence, P Blomquist, J Hilton, L Guzman-Rincon, T House, JD Nokes, and MJ Keeling, Nature Communications, 14(1): 4011, 2023;
  • Informing antimicrobial stewardship with explainable AI. M Cavallaro, Ed Moran, B Collyer, ND McCarthy, C Green, and MJ Keeling, PLOS Digital Health, 2(1): e0000162, 2023
  • Cluster detection with random neighbourhood covering: application to invasive Group A Streptococcal disease. M Cavallaro, J Coelho, D Ready, V Decraene, T Lamagni, ND McCarthy, D Todkill, and MJ Keeling, PLoS Computational Biology, 18(11):e1010726, 2022
  • Timing RNA polymerase pausing with TV-PRO-seq. J Zhang, M Cavallaro, and D Hebenstreit, Cell Reports Methods, 1(6):100083, 2021
  • 3'-5' crosstalk contributes to transcriptional bursting. M Cavallaro, MD Walsh, M Jones, J Teahan, S Tiberi, B Finkenstädt, and D Hebenstreit, Genome Biology, 22(1):56, 2021
  • Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. M Cavallaro, H Moiz, MJ Keeling, and ND McCarthy, PLoS Computational Biology, 17(6):e1009121, 2021
  • Effective bandwidth of non-Markovian packet traffic. M Cavallaro and RJ Harris, Journal of Statistical Mechanics: Theory and Experiment, 2019(8):083404, 2019 (arXiv:1902.00477)
  • Bayesian inference on stochastic gene transcription from flow cytometry data. S Tiberi, MD Walsh, M Cavallaro, D Hebenstreit, and B Finkenstädt, Bioinformatics, 34 (17):i647, 2018
  • A framework for the direct evaluation of large deviations in non-Markovian processes. M Cavallaro and RJ Harris, Journal of Physics A: Mathematical and Theoretical, 49(47):47LT02, 2016 (arXiv:1603.05634)
  • Temporally correlated zero-range process with open boundaries: steady state and fluctuations. M Cavallaro, RJ Mondragón, and RJ Harris, Physical Review E, 92(2):022137, 2015 (arXiv:1504.06309)
  • Assessment of urban ecosystem resilience through hybrid social-physical complex networks. M Cavallaro, D Asprone, V Latora, G Manfredi, and V Nicosia, Computer-Aided Civil and Infrastructure Engineering, 29(8):608, 2014 (arXiv:1302.3263)
  • Urban network resilience analysis in case of earthquakes. D Asprone, M Cavallaro, V Latora, G Manfredi, V Nicosia., In G Deodatis, BR Ellingwood, DM Frangopol, (eds.), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2014 (pp. 4069-4075). London, CRC Press.

Back to top
MENU