Speakers: Lilly Thomas

Machine Learning Engineer at Development SeedShe/Her

Picture of Lilly Thomas


Lilly is a machine learning engineer at Development Seed. She has expertise in applying deep learning techniques to Earth Observation (EO) imagery. Her primary motivation lies in developing computer vision models that generate insights to support the achievement of the Sustainable Development Goals. She has a particular interest in the intersection of machine learning (ML) and oceanographic science.

Prior to joining Development Seed, Lilly worked as a Data Scientist in multiple organizations with a focus on the use of EO imagery with ML. In all roles, she worked with heterogeneous data formats and built models that were deployed and scaled in cloud-based pipelines.

Based in LA, you can find Lilly surfing, hiking or practicing yoga - she is a certified yoga teacher - outside of work. Lilly received her bachelors from UCLA.

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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