Kyle Bradbury

Kyle Bradbury, assistant research professor with 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. Past projects include transforming smart electric utility meter data into energy efficiency insights and exploring the reliability and cost trade-offs of energy storage systems for integrating wind and solar power into the grid. He is also a member of the faculty in the Masters of Interdisciplinary Data Science Program at Duke University. He completed a BS in electrical engineering from Tufts University and a MS and PhD at Duke University.

Daniel Kahneman’s Thinking, Fast and Slow is the best book to understand the nuances of our cognitive glitches and to help us make better choices professionally and personally. 

Hans Rosling, Ola Rosling, and Anna Rosling Rönnlund’s Factfulness—Ten Reasons We’re Wrong About the World—and Why Things Are Better Than You Think offers a data-supported, genuinely hopeful view of the world, how it’s better than it was not so long ago, and the potential for human progress.