Computer Science is more than mere machines and code; it is a means for understanding the world, and a method for changing it.

Hi.  My name is Steve Hanneke.  I am a third-year PhD student in the Machine Learning Department at Carnegie Mellon, studying artificial intelligence.  My advisors are Larry Wasserman and Eric Xing.  My research focuses primarily on the informational complexity of machine learning. I also have interests in the application of machine learning techniques to the study of social networks. I have recently submitted my thesis proposal, and I hope to complete my thesis and graduate by spring 2009.

Prior to this, I studied for my B.S. in Computer Science at the University of Illinois at Urbana-Champaign (UIUC), and pursued research on semi-supervised machine learning with Prof. Dan Roth and other students in the Cognitive Computation Group.  Prior to that, I studied Computer Science at Webster University in St. Louis, MO, where I played around with neural networks and classic AI a bit.

When I have time between classes and research, I enjoy reading books on science, pure mathematics, technology, and philosophy, and occasionally find time for hiking and camping.  I've also been known to tinker with computer clusters.

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This site was last updated on 04/04/08.

Since 02/25/07