Dr | Senior Research Officer
Dr Sanz-Leon is an expert computational brain modeller. She trained as a professional biomedical engineer in Argentina (2004-2009), was awarded a MSc (research) in computational biology (2010) and a PhD degree in Computational Neuroscience (2015). She worked for over three years at the University of Sydney as Research Associate as the School of Physics and since 2018 joined the Brain Modelling Group at QIMRB.
Dr Sanz-Leon has a rare breadth of expertise spanning physics of complex systems, biomedical engineering, neuroinformatics, and large-scale biophysical and mathematical brain modelling. The best example of her interdisciplinary expertise is her primary role as scientific software developer of The Virtual Brain: a one-of-a-kind scientific research software for large-scale brain modelling and analysis, that has been used in more than 200 studies worldwide. Software developed by Dr Sanz-Leon has accelerated scientific discovery in brain mapping by providing other scientists with robust and practical tools, and enabling them to do more research, faster and better. Indeed, The Virtual Brain is used in clinical trials (France) for assisting in surgical treatment of epilepsy.
Her interdisciplinary skills are supported by published articles in computational biology, and recently, in the nascent field of computational psychiatry.
Since 2014 she has provided scientific training on large-scale brain modelling to students and researchers in the form of interactive workshops, educational seminars, invited presentations at national and international forums, as co-supervisor of PhD students, and as sole supervisor of undergraduate and Honours students (QUT).
Research Associate – School of Physics, University of Sydney (2015-2018)
I am an expert computational brain modeller. Specifically I specialise in the development of robust scientific software for the analysis and simulation of brain dynamics at the level of the whole brain. Recently, due to the increased demand in understanding several dimensions of the coronavirus pandemic, our group quickly responded by working on agent-based modelling of covid-19. This modelling enable us to predict scenarios and probabilities of new outbreaks, and what interventions we should follow to stay safe. My modelling expertise allowed me to easily switch my research efforts to the field of computational epidemiology.
2018: ARC Centre of Excellence for Integrative Brain Function’s Future Leaders Accelerator 1st Cash prize for innovative idea.
2015: PhD in Computational Neuroscience (France)
2010: MSc (Research) in Computational Biology and Applied Mathematics (France)
2008: Bachelors in Biomedical Engineering (Argentina)