Daniel Gordon


Hometown Atlanta, Georgia
University of Washington

Student Page: https://homes.cs.washington.edu/~xkcd/index.html

Research:  Daniel's research has been focused on interactive artificial intelligence: algorithms that learn to live and interact directly with the world. He uses human insight to induce structure into the learning procedures that prove difficult for end-to-end methods. This has been especially useful for sequential decision-making tasks which are often exponential in their search space but can still be tackled efficiently given simple priors.

Daniel is a 5th year computer science PhD student at the University of Washington working with professors Ali Farhadi and Dieter Fox. His research interests are at the intersection of Computer Vision and Robotics. Prior to this, he received his B.S. from Washington University in St. Louis in 2014.