Jake Vanderplas is an NSF post-doctoral fellow at University of Washington, working jointly between the Computer Science and Astronomy departments. His research involves applying recent advances in machine learning to large astronomical datasets, in order to learn about the Universe at the largest scales. In the Python world, Jake is active in maintaining and contributing to several core Python scientific computing packages, including Scikit-learn, Scipy, and others. He occasionally blogs on python-related topics at http://jakevdp.github.com.