Speakers: Megan Hansen

Machine Learning Scientist at Impact Observatory

Picture of Megan Hansen


Megan Hansen is a Machine Learning Scientist at Impact Observatory, where she and her teammates are building AI-powered geospatial algorithms that provide governments, industries, and markets with insights they need to succeed. She enjoys exploring new ways to automate machine learning experiments and using remote sensing data to understand the challenges facing our planet. Before joining Impact Observatory, Megan was a Data Scientist at Maxar. When she isn’t training models, you’ll likely find her hanging out at a coffee shop or with her dog, Bowdie. She holds a MS in Hydrology and a BS in Geophysical Engineering from the Colorado School of Mines.

On the agenda



  1. Amazon Web Services (AWS)

  2. Caribou Space

  3. Esri

  4. National Aeronautics and Space Administration (NASA)

  5. Picterra

  6. Planet

  7. Replicable AI for Microplanning (RAMP)

  8. SparkGeo

  9. United States Agency for International Development (USAID)


  1. Azavea

  2. Capella Space

  3. D4DInsights

  4. Element84

  5. European Space Agency (ESA)

  6. Locana

  7. PLACE

  8. Radiant Earth Foundation

  9. TileDB

  10. Umbra


  1. Cyient

  2. Development Seed

  3. DevGlobal

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