Reza Ehsani

Reza is a Machine Learning Engineer with expertise in hydrometeorology, climate science, and data-driven environmental solutions. He holds a PhD in Hydrology & Atmospheric Sciences and a Master’s in Computer Science from the University of Arizona, as well as a Master's in Water Resources Management. Reza’s research and engineering efforts focus on developing machine learning models to improve weather forecasting, hydrological modeling, and environmental data analysis. He has contributed to NASA's Global Precipitation Climatology Project and received the NASA Robert H. Goddard Award for his outstanding contributions to climate science. Reza also has extensive experience working with satellite data and applying machine learning techniques to address global water and climate challenges.