Coleman Haley

I am a second year Ph.D. Student in the CDT in Natural Language Processing at the University of Edinburgh, working with Sharon Goldwater. My interests generally lie in issues pertaining to typological diversity in NLP, low-resource languages, and the role of linguistic structure in NLP systems, particularly with respect to morphology.

Previously, I was an intern at Microsoft Research with Paul Smolensky, where I worked on Tensor-Product-Representation-inspired methods of incorporating structure in neural models.

I graduated from Johns Hopkins University in 2020 with a double major in Computer Science and Cognitive Science. I was advised by Paul Smolensky and Colin Wilson, with whom I built more efficient Tensor Product Representation methods and interpretable neural morphological learners, respectively.

In my spare time, I enjoy advocating for the inclusion of LGBTQ+ people in STEM, baking, and early music.