Ethan Duncan serves as the Data Scientist in our Innovation Lab. He has expertise in cross-functional team collaboration focused on the design and implementation of data science solutions.
As a researcher at NASA, Ethan led and implemented advanced computer vision techniques for recognizing and classifying ice blocks on the Jovian moon Europa, resulting in published conference papers and presentations at multiple scientific conferences.
Ethan earned his Master of Information and Data Science (MIDS) from the University of California, Berkeley, where his work culminated in a waterpoint functionality predictor to that used machine learning to assist those in water scarce areas of the world find reliable sources of water. Ethan earned dual Bachelor of Science degrees in Astrophysics and Physics at Arizona State University.
