MRes-PhD student in the Artificial Intelligence for Environmental Risk (AI4ER) CDT
Madeline Lisaius is an MRes-PhD student in the Artificial Intelligence for Environmental Risk (AI4ER) CDT. She specializes in applications of Earth observation imagery and remote sensing methods to questions of large landscape change with a focus on sustainable and subsistence agriculture, human rights, and ethics in geospatial data science. Prior to beginning doctoral studies, Madeline was the Lead Data Scientist for topics of food, climate and remote sensing at The Rockefeller Foundation. She has also worked with National Geographic, WRI, UN OCHA, Planet, and others. Madeline holds a B.S. with honors and M.S. from Stanford University in Earth Systems with a focus on land systems, spatial statistics, and computer science.
Research area: satellite remote sensing, agriculture, machine learning