Alex Beutel is a Ph.D. candidate in the Computer Science Department at Carnegie Mellon University. He received his Bachelors of Science in Computer Science and Physics from Duke University in 2011. His current research focuses on understanding user behavior through large-scale graph analysis. This ranges from modeling normal behavior of groups of users to spotting suspicious behavior of groups of users, such as lockstep behavior. As a result, his work includes data mining and machine learning to isolate useful patterns, distributed system design to scale algorithms to big data and huge models, and in some cases theory to analyze the limits on what the algorithms can detect.