My research aims to aid water resource decision-making by improving monitoring and forecasting of hydrological hazards and their impacts from global to local spatial scales. To this aim, I work developing scalable solutions for high-resolution hydrological predictions by leveraging satellite remote sensing, land surface modeling, machine learning, data fusion, and high-performance computing.
I obtained a PhD in Civil and Environmental Engineering from Princeton University working with Prof. Eric F. Wood and Prof. Justin Sheffield. Currently, I am a Postdoctoral Research Associate at the Princeton University Atmospheric and Ocean Science Program and NOAA Geophysical Fluid Dynamics Laboratory working with Dr. Elena Shevliakova on Earth System Modeling and satellite data assimilation.
Learn more about my interests in research and publications.
PhD in Civil & Environmental Engineering
Princeton University, 2021
Statistics & Machine Learning Certificate
Princeton University, 2021
Computational Science & Engineering Certificate
Princeton University, 2019
MA in Civil & Environmental Engineering
Princeton University, 2017
BS Environmental Engineering
Federal University of Paraná, 2014
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