Dr Marianna Laviola is a biomedical engineer and she completed her PhD in bioengineering at Politecnico di Milano (Italy). Her main research interests include the bioengineering of respiratory system, the development of computational models of human physiology and pathology, animal models of respiratory diseases, physiological measurements and ultrasonography of the diaphragm.
Marianna's research at University of Nottingham focuses on computational modelling studies of human pathophysiology. In particular, she uses and further develops high-fidelity, highly-integrated computational simulations of respiratory and cardiovascular systems to a) investigate the physiological mechanisms and rescue strategies during apnoea, b) examine tailored therapeutic strategies in silico biobank of critical illness patients and c) test novel interventions in cohorts of virtual in silico patients to identify the most promising strategies for further evaluation in future clinical trials.
Member of the Doctoral Programmes Committee - Deputy Lead for the Postgraduate Training.
- Reviewer for the following journals: IEEE Journal of Biomedical and Health Informatics, Respiratory Care, BMJ Open Respiratory Research and Frontiers in Physiology
- Editorial committee member for the following journals: IEEE Reviews in Biomedical Engineering and European Respiratory & Pulmonary Diseases
- Grants assessor for the Engineering and Physical Science Research Council (EPSRC), University of Nottingham, Physiological Society and King's College London
Young Professional Representative (2020 -2022) - IEEE Engineering in Medicine and Biology Society (EMBS). Administrative Committee.
Mentor for staff and students at UoN.
Mental Health First Aider
Host family for the "International Family Link" at UoN 2018/19
STEM Learning Ambassador UK
Native Scientist Project Manager
UG, PG and PGR supervision - Division of Clinical Neuroscience & Division of Cancer and Stem Cells
Lecturer for the postgraduate research courses: Computational modelling in critical illness. Faculty of Medicine and Health Sciences
Development of computational models of human physiology and pathology
Modeling analysis of apnoea and rescue interventions strategies during severe hypoxaemia (Fisher & Paykel Healthcare and EPSRC)
Optimization and personalization of physical treatment strategies in critically ill patients (EPSRC funded)
Replacement of animal models of cardiac arrest and resuscitation strategies using a computer simulation (funded by NC3Rs)
Computational modeling apnoea and high-flow upper airway oxygenation (funded by Fisher and Paykel Healthcare)
M. LAVIOLA, A. ZANNINI, R. PRIORI, F. MACCHINI, E. LEVA, M. TORRICELLI, C. CERUTI and A. ALIVERTI, 2015. Thoraco-abdominal asymmetry and asynchrony in congenital diaphragmatic hernia. Ped Pulm. 50(9), 915-924
Animal Free Research UK: Simulation of myocardial infarction and hypovolemic shock using an integrated and high fidelity computational model. 2021. PI (£2000)
EPRSC: "Investigating strategies for mechanical ventilation in COVID-19 via computational simulation of virtual patients" 2020-21. Researcher Co-I (£429K)
Fisher & Paykel Healthcare: "Investigating the evolution and application of Optiflow in managing obese patients in the perioperative period". 2019 - 2022. Co-I (£76K)
NC3Rs: "Replacement of animal models of cardiac arrest and resuscitation strategies using a computer simulation", 2019 - 2022. Co-I (£90K)
EPRSC: "Personalised Simulation Technologies for Optimising Treatment in the Intensive Care Unit: Realising Industrial and Medical Applications", 2017-2021. Research Co-I (£880K)
Fisher & Paykel Healthcare: "Investigating the mechanism of Optiflow-induced gas exchange and potential optimizations using high-fidelity computational modelling", 2016-2017. Named Researcher. (£110k)
October 2013 - September 2015 (Post-doc, Czech Technical University in Prague, Czech Republic)
Investigation of gas exchanges in animal models of ARDS during conventional ventilation and high frequency oscillatory ventilation.
January 2010 - April 2013 (PhD thesis, Politecnico di Milano, Italy)
Assessment of diaphragm in patients affected by neuromuscular diseases and patients underwent thoracic surgery using non-invasive methods: medical ultrasounds and optoelectronic plethysmography.