Currently, I am an Assistant Professor at the Institute of Mathematics and Statistics at UFRGS, Brazil. Previously, I worked in the Department of Mathematics at UFSM. My research interests encompass fluid dynamics, numerical methods for partial differential equations, and the application of machine learning in these areas. I am highly motivated to develop new deep learning methodologies, primarily through artificial neural networks, for forecasting and understanding ocean phenomena.

From 2020 to 2022, I was a postdoctoral researcher at UFRGS, working with Prof. Leandro Farina on the project titled “Ocean Wave Ensemble Forecast Using Deep Learning,” funded by the Office of Naval Research (ONR). From 2018 to 2019, I was a postdoctoral researcher at INPE, under the supervision of Prof. Fernando Fachini, working on the project titled “Numerical study of soot formation in Tsuji burner using REDIM.”

I completed my PhD in Applied Mathematics at UFRGS, under the supervision of Prof. Alvaro de Bortoli and Prof. Ulrich Maas from KIT, where I developed a new framework to reduce the complexity of numerically simulating reactive flows. A version of my thesis can be found here.