Hamed Alemohammad is the Chief Data Scientist at Radiant Earth Foundation, leading the development of Radiant MLHub as an open-access cloud native commons for geospatial Machine Learning training datasets and models. He has extensive expertise in machine learning, remote sensing, and imagery techniques particularly in developing new algorithms for multi-spectral and passive/active microwave observations. He also serves as an elected member of the American Geophysical Union’s technical committee on remote sensing. Prior to joining Radiant Earth, he was a Research Scientist at Columbia University. Hamed received his PhD in Civil and Environmental Engineering from MIT in 2014.