Biology entered a new phase, where rigorous quantitative methods are integrated in both fundamental research and biotechnology extensively. On my end, I currently use stochastic modeling to investigate the mechanisms of mRNA transcription with
Dr. Daniel Hebenstreit
Prof. Bärbel Finkenstädt Rand
and am funded by the BBSRC.
My research interests include interacting particle systems, Monte Carlo methods, large deviation theory, and applications to natural and man-made systems.
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, 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