I am a third year PhD student in the Computer Science & Engineering department at the University of Washington, advised by Dan Weld. My primary research interests are in natural language processing and crowdsourcing; I am currently working on relation extraction. I am a 2011 NSF Graduate Research Fellow.
I received my BS in Computer Science from Rice University, with a second major in Electrical Engineering. While at Rice, I worked with Devika Subramanian on Bayesian network structure learning applied to systems biology, as well as supervised classification of images of Barrett's esophagus.
- Type-Aware Distantly Supervised Relation Extraction with Linked Arguments
Mitchell Koch, John Gilmer, Stephen Soderland, Daniel S. Weld. Accepted to the Conference on Empirical Methods in Natural Language Processing, 2014. [paper]
- Personalized Online Education — A Crowdsourcing Challenge
Daniel S. Weld, Eytan Adar, Lydia Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James Landay, Chris Lin, Mausam. 4th Human Computation Workshop (HCOMP-12), 2012. [paper | related poster]
- Learning robust cell signaling models from high throughput proteomic data Mitchell Koch, Bradley M. Broom, Devika Subramanian. International Journal of Bioinformatics Research and Applications, Vol. 5, No. 3, 2009.
[paper | poster]
- A Search-Based Approach for Bayesian Inference of the T-cell Signaling Network Mitchell Koch, Bradley M. Broom, Devika Subramanian. 4th Biotechnology and Bioinformatics Symposium (BIOT-2007), 2007. [paper | slides]