Kyle Bradbury, Assistant Research Professor in the Pratt School of Engineering and Nicholas School of the Environment and director of the Energy Data Analytics Lab at the Nicholas Institute, leads research developing and applying machine learning techniques to better understand, plan, and manage energy systems and climate impacts. He and his team specialize in developing scalable computer vision techniques for global infrastructure assessment through remote sensing data. He completed a BS in electrical engineering from Tufts University and a MS and PhD at Duke University.
Courses taught:
IDS 705: Principles of Machine Learning
(3 credits)
