Danny Tarlow

Ph.D. Student
Machine Learning Research Group
Department of Computer Science
University of Toronto

dtarlow cs toronto edu


I am (edit 2013: I've finished the Ph.D.) a Ph.D. student in the Machine Learning Group within the Department of Computer Science at the University of Toronto, where I also received my M.Sc. in January of 2008. I graduated from Stanford in June of 2006 with a BS in Computer Science. I was on leave, working as a machine learning consultant, from August 2008 - August 2009. My advisor is Richard Zemel; I also work frequently with Ryan Adams and Brendan Frey. In January 2013, I will be joining Microsoft Research Cambridge as a Postdoctoral Researcher and will be a Research Fellow at Darwin College at the University of Cambridge.

Broadly, I'm interested in applying machine learning to problems where examples come in the form of complex, structured objects. How can we best learn by example when our examples are things like image segmentations, bipartite matchings, paths in a graph, or (perhaps someday) computer programs? What computational tools and models do we need to be able to tractably work in these settings? How can we better model these settings without sacrificing computational efficiency?

Some specific interests:

Some selected past projects and positions: