I am a Postdoctoral Researcher at Gardner Lab, in the Department of Geology and Environmental Science of the University of Pittsburgh. Our group mainly focuses on hydrological and hydrosedimentological fluvial and alluvial processes. Specifically, I collaborate on a National Aeronautics and Space Administration (NASA) project involving these themes and two of my favorite subjects, Machine Learning and Remote Sensing.

I have a bachelor’s in Civil Engineering (2015), a Master of Science (2018), and a PhD (2022) in Water Resources and Environmental Sanitation from Universidade Federal do Rio Grande do Sul (UFRGS). I also did a PhD Sandwich (mobility period) on the GIScience group of the Geography Department of Friedrich-Schiller-Universität Jena, in Jena, Germany.

For my PhD, I worked in the Hydroenvironmental Applications of Artificial Neural Networks (AHRNA) research group. I modeled landslide susceptibility using Machine Learning methods, especially Artificial Neural Networks. During my time in Jena, I had the chance to dive into spatial cross-validation and geomorphic plausibility of AI models.

I find Machine Learning methods fascinating and still underrepresented in engineering research. Most of my research is based on Remote Sensing products and GIS techniques. I am a coding enthusiast and have coded scientifically for over a decade, having used many different languages over these years. I also like to use and support the use of open-source software.