Aakash Ahamed, MS

Hydrogeophysist, remote sensing expert, data scientist

Aakash Ahamed is a hydrologist developing scientific methods for satellite and airborne remote sensing measurements with applications to water resources, natural hazards, and agricultural systems. As a PhD Candidate in the Department of Geophysics at Stanford University, his current doctoral project focuses on modeling, monitoring, and forecasting key hydrologic components of the Central Valley Aquifer System in California using techniques in data assimilation and machine learning.

Aakash previously worked as a support scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, where he constructed satellite-based models of flood and landslide hazards. He was recently awarded a National Geographic Explorer Fellowship to integrate drone imagery into satellite-based flood monitoring systems. He has also developed remote sensing analyses and software at Ceres Imaging, a successful precision agriculture start up based in Silicon Valley, and interned as a GIS analyst at the World Wildlife Fund for Nature in Washington, DC.


  • Hydrologic Remote Sensing
  • Model - Data fusion
  • Data assimilation and Machine Learning for applications in water resources, natural hazards, and agriculture


  • PhD in Geophysics, 2022

    Stanford University

  • MSc in Hydrology

    Boston College

  • BS in Geosciences (with honors), BA in Government

    Franklin and Marshall College