Dr Rossella Rizzo
Dr Rossella Rizzo is a mathmatician and Research Fellow working as part of the FRAILMatics Research Group. She is working under the direction of Prof. Roman Romero–Ortuno, at The Irish Longitudinal Study on Ageing (TILDA). She currently works on cognitive data for older people, applying big data analysis, computational modeling, machine learning techniques and methods from statistics and non-linear dynamics. Her primary research goal is to develop mortality prediction models analysing large scale network dynamics of interactions between diverse physiological systems in the human organism.
Dr Rizzo received her Master Degree cum laude in Mathematics from the University of Palermo, Italy in 2016, working on dynamical patterns and coherent structures in reaction-diffusion systems for her final thesis. She completed her PhD in Science and Engineering (specialising in Applied Mathematics) at the University of Calabria, Cosenza, Italy, working on the identification of brain structures in order to improve the knowledge of cerebral morphometry and the processing capacity of software for brain imaging.
In 2018, Dr Rizzo joined Prof. Robert Whelan’s group at the Trinity Institute of Neuroscience (TCIN) as Visiting Researcher to conduct research on unhealthy ageing within the BrainPAD project. Between 2018 and 2020 Rossella worked with Prof. Plamen Ivanov’s group at the Keck Laboratory for Network Physiology at Boston University, applying cross-correlation functions and statistical analysis to understand dynamical interactions between the brain and the locomotor system during different sleep stages in healthy and Parkinson’s subjects.
Rizzo, R, Zhang, X, Wang, JWJL, Lombardi, F, and Ivanov, PCH. Network Physiology of Cortico-Muscular Interactions. doi: 10.3389/fphys.2020.55807. Frontiers in Physiology 2020; 11; 558070.0.
Garcia-Retortillo, S, Rizzo, R, Wang, JWJL, Sitges, C, and Ivanov, PCh. Universal spectral profile and dynamic evolution of muscle activation: a hallmark of muscle type and physiological state. doi: 10.1152/japplphysiol.00385.202.Journal of Applied Physiology 2020; 129:3; 419-441
Boyle, R, Jollans, L, Rueda-Delgado, LM, Rizzo, R, Yener, GG, McMorrow, JP, Knight SP et al. Brain predicted age difference score is related to specific cognitive functions: a multi-site replication analysis. doi: 10.1007/s11682-020-00260-3. Brain Imaging and Behavior 2020: 1-19.
Bertacchini, F, Rizzo, R Bilotta, E, Pantano, P, Luca, A, Mazzuca, A, Lopez, A. Mid-sagittal plane detection for advanced physiological measurements in brain scans. doi: 10.1088/1361-6579/ab4f2e.Physiological Measurement 2019; 40; 11