I am an Applied Mathematician with a Physics background in fluids and non-linear dynamics. My research is centred around the analysis of complex systems, and as such, it spans broad interdisciplinary fields -- including dynamical systems, network science, statistics, and data science -- with applications ranging from ecosystem dynamics and neuroscience to climate forecasting and power-grids stability. Overall, my work attempts to bridge fundamental mathematical and physical theories with real-world applications, relying heavily on collaborations, mathematics, and data.
I am a Lecturer in Data Science for the Institute for Complex Systems and Mathematical Biology at the University of Aberdeen, position I hold since 2022. Previously, and for 5 years, I was an Adjunct Professor of the Physics Institute at the Faculty of Sciences (IFFC), Universidad de la República, Uruguay. I worked at the IFFC as part of the Non-Linear Physics group and its experimental branch, the Laboratory of Instabilities in Fluids, which I remain as an Associate Researcher and collaborator. From June 2020 up to 2022 I worked as Research Fellow of the Aberdeen Biomedical Imaging Centre in a project involving the development of novel neuroimaging ways to classify Alzheimer's disease and mild-cognitive impairment from large-scale functional brain networks.
In my current position, I coordinate four undergraduate modules [Dynamical Phenomena (PX2015); Energy & Matter (PX3014); Statistical Physics & Stochastic Systems (PX4012); Advanced Signal Processing (PX4014)], yearly supervise various (PGT) theses from the MSc in Data Science, and offer PhD research projects on topics ranging from abstract dynamical systems and network theory to applied neuroscience, mathematical modelling, and smart grid analyses.
I have a PhD in Physics from the UoA for the thesis: "The mathematical principles behind the transmission of Energy and Synchronisation in Complex Networks", which was supervised by Dr Murilo S. Baptista and Prof Celso Grebogi. The thesis got nominated to the Springer theses award "the best of the best" by the UoA, which after winning was published as a book (ISBN 978-3-319-22216-5). Its outcomes (including 5 publications) involve exact and approximate results for the behaviour and stability of complex systems (networked dynamical systems), which are particularly useful when studying phase-angle stability in power-grid systems at the transmission level. Before my PhD, I got an MSc in Physics from the UdelaR for the thesis: "Synchronisation of coupled electronic oscillators", which was supervised by Prof Arturo C. Martí and Dr Cecilia Cabeza. The thesis (including 3 publications) analyses the dynamics of electronic oscillators modelling gregarious fireflies, which I implemented using dual RC circuits and interactions via LED light pulses. My results include mathematical conclusions about the synchronisation properties of networks of generic piecewise oscillators, which are also helpful in understanding neuronal excitatory and inhibitory dynamics.