Machine learning in the wild

The following interview is one of many included in the report. Benjamin Recht is an associate professor in the electrical engineering and computer sciences department as well as the statistics department at the University of California at Berkeley. His research focuses on scalable computational tools for large-scale data analysis, statistical signal processing, and machine learning -- exploring the intersections of convex optimization, mathematical statistics, and randomized algorithms. David Beyer: You're known for thinking about computational issues in machine learning, but you've recently begun to relate it to control theory. Can you talk about some of that work?