Leonardo holds a Bachelor and a Master of Physics from the Universidade Federal de Minas Gerais (UFMG/Brazil) where he also completed a multidisciplinary PhD in Sport Sciences, focusing on the nonlinear time-series analysis of human motor behavior.

He joined The University of Western Australia (UWA) in 2018 as a Research Fellow in the Department of Mathematics and Statistics. His work is characterised by its interdisciplinary breadth, incorporating elements of statistical physics, complex systems science, and data analytics to address real-world challenges across various sectors, including resources, sports, and medical data analysis. He has contributed to data science projects and training for companies such as Rio Tinto, Anglo American, and Woodside, which led to his recognition with the prestigious Australian Global Talent Visa in Data Science/DigTech in 2021.

In 2022 he joined the ITTC in Data Analytics for Resources and Environments (DARE) as Senior Research Fellow/Data Scientist, within the Department of Mathematics and Statistics at UWA. He is also affiliated with UWA’s Centre for Exploration Targeting. His research interests lie in the integration of network science, dynamical systems, nonlinear time series analysis, data visualization, and machine learning to develop robust analytical tools that enhance decision-making processes. He is currently developing innovative data visualisation tools aimed at organising multimodal geophysical information in a sensible way, allowing subject matter experts to “navigate” large datasets in search of insights and meaning. Additionally, he provides mentorship in data science and Python programming to PhD candidates.

Complex Systems approach for Data Science, in special:
- Bigdata visualization/navigation
- Oil&Gas risk assessment through network science

Nonlinear time series analysis, mainly:
- Multivariate Singular Spectrum Analysis
- Embedding and (nonlinear) Observability Theories

Network Science:
- Differential clustering analysis
- Networks from time-series data

Multidisciplinary collaborations:
- Geosciences (Oil&Gas reservoirs, data fusion of geophysical responses)
- Human Motor Learning (EEG and behavioural data analysis)
- Cancer Immunotherapy (gene expression analysis)

* Mentorship in data science and Python programming to HDR candidates.

* Reviewer of the following international scientific journals:

- Chaos
- Nonlinear Dynamics
- Physics Letters A
- Journal of the Franklin Institute
- IEEE Transactions on Circuits and Systems II: Express Briefs
- International Journal of Modelling, Identification and Control
- Entropy
- Atmosphere
- Ecological Economics
- Psychology of Sport and Exercise

English
Portuguese