I'm a senior researcher in the Machine Learning Department, at Microsoft Research, in Redmond, Washington. My main research interests are machine learning, online prediction, algorithm engineering, statistical learning theory, and optimization.
Recently, I've been focusing on large scale machine learning, online learning against adaptive adversaries, learning in multi-teacher environments, and learning predictors that are intelligible to humans. In the past I have written papers on support vector machines, boosting algorithms, online to batch conversion techniques, bandit problems, incentive compatible learning, and other aspects of statistical and online learning.
I sometimes teach advanced graduate courses at the University of Washington. In winter 2011 I taught statistical learning theory. In spring 2012 Brendan McMahan and I taught online learning, and in spring 2014 we taught it again.